System and method for creating, searching and using a search macro

ABSTRACT

A system for transmission, reception and accumulation of the knowledge packets to plurality of channel nodes in the network operating distributedly in a peer to peer environment via installable one or more role active Human Operating System (HOS) applications in a digital devise of each of channel node, a network controller registering and providing desired HOS applications and multiple developers developing advance communication and knowledge management applications and each of subscribers exploiting the said network resources by leveraging and augmenting taxonomically and ontologically classified knowledge classes expressed via plurality search macros and UKID structures facilitating said expert human agents for knowledge invocation and support services and service providers providing information services in the preidentified taxonomical classes, wherein each of channel nodes communicating with the unknown via domain specific supernodes each facilitating social networking and relationships development leading to human grid which is searchable via Universal Desktop Search by black box search module.

PRIORITY CLAIM

This application is a divisional of U.S. patent application Ser. No.11/995,343, filed Jan. 11, 2008, which is a 371 application of PCTInternational Application No. PCT/IN2006/000260 filed Jul. 18, 2006,which claims the benefit of Indian Patent Application No. 878/MUM/2005filed Jul. 22, 2005; the disclosures of which are incorporated herein byreference in their entireties.

COPYRIGHTS INFORMATION

A portion of the disclosure of this patent document contains materialthat is subject to copyright protection. The copyright owner has noobjection to the facsimile reproduction by anyone of the patent documentor the patent disclosure, as it appears in the Patent and TrademarkOffice patent file or records, but otherwise reserves all copyrightrights whatsoever.

FIELD OF INVENTION

The present invention relates to constitution and configuration of peerto peer distributed universal knowledge management framework forinformation and knowledge transmission, communication and enhancedsearching including human knowledge searching, human mediatedinformation searching, universal desktop searching, universal knowledgeand information database searching, survey based searching, searchmacros system and advertising system therefor, specifically relates todevising of semantically linked system, interfacing human knowledgestorage and handling system with computational knowledge storage andhandling system for effective knowledge invocation and derived socialnetworking thereby.

BACKGROUND OF THE INVENTION

The rapid growth in information technology and the emergence of theInternet and Wide Web over the last several years have changed the waysand means of communicate

broader aspect. At present there are world over around 815 millioninternet users enj

services of Internet framework and increasing at the rate of 125% ayear.

The Internet was designed to hold smaller networks together, turningthen into or

network. The major limitations with internet framework is disability atuser end to cross

the accuracy, currency, authority, reliability, objectivity andtruthfulness of its contents. F

virus and spamming attacks to the connected network users put users atrisk making i

itself a hazardous product being offered to users violating all lawswith customers'

privileged with. Likewise, IPR being meant for protection tool toinventor, via Internet

worth billions of dollars is infringed in terms of copyrightinfringement.

This enormous growth of internet till date has generated around 60 to100 bill

publicly available web pages all over the world to search for andsimultaneously a

estimated 20 billion intranet pages to that matter. Using this mean ofinternet framework

amount of information is being thrown on the servers in roughlyunorganized manner.

Plurality of search engines have been designed to similarly to track andfind out c

information hosted at plurality of internet servers wherein Google domanage to index

most around 8.0 billion web pages which means 60% of web contents arenot searchable

means.

Unfortunately, end users are often overwhelmed. They spend most of thei

searching, navigating & sorting through the data, spending less timeinterpreting, and elm

time actually doing something about what they find.

The human being today is living in direct and indirect civilizationssimultaneous

concurrent mode. Every civilization is believed to function with certaindetermined path

norms and conditions. The era we are living in has come up the ageswherein we are fol

certain fixed learning and evolving approach through our societal,institutional, moral and

based framework. The learning being the specialized component ofevolution of human be

aspects of human efforts are concentrated towards acquiring knowledge,experiencing,

development, and such other brain training assignments. The significantaspect of human behavioral trait towards these learning and evolutionpractices is we are dealing with our learning interface essentially inclose proximity to ourselves, though telecommunication and remote accesshas revolutionized our lives.

After widely using web as a source for information, businesses,knowledge workers and web user in general are demanding greater deal ofintelligent utilities to fulfill their knowledge requirement. Web beinga information platform facilitating a ‘information highway’ where hugenumber of data and information stalls on the said high way arecontinuously storing their contents and users surfing on the saidhighway browsing that contents. Search engine proving a boon to surf onthe said high way to find out relevant information, whereinunfortunately knowledge access is far from reality. Various e-Learningmodules developed so far are trying to satisfy this demand in muchpersonalized manner, alternatively, knowledge searching itself asks forthree core requirements

1. Knowledge resources,

2. Intelligent searching tool, and

3. Economic model for knowledge dissemination.

The syntax and structures have formed basic building blocks of the saidinformation highway, remarkably missed out with context and semantics ofthe information hence lacking intelligence to an interpretative level.Thus currently searching via various search engines are carried out onthe said information highway on the similar structured format, leadingto provide unresponsive, irrelevant results rather than something verycontextual and relevant. Many such techniques follow comparative usetrends, to formulate relevance level. Alternatively other searchtechniques rely on categorization of web sites to further focus thesearch results to areas anticipated to be most relevant. These are allindex driven approach rather than context driven, hence lesserintelligent.

On the other hand knowledge is by and large is pretty dynamic entitywherein one cannot present knowledge with the rigid boundaries. Humancommunication in general exploits this very virtue of our brain toexpress things in the plurality of contextual engagements. Whileidentifying it in the network environment the data should have semanticidentifiers to be understood by the machine, this forms importantconsideration for the evolution of ‘semantic web’, a project thatintends to create a universal medium for information exchange by givingmeaning, in a manner understandable by machines, to the content ofdocuments on the Web forming an extension of the current Web, in whichwe add support for databases in machine-readable form. The current Websupports documents, pages of text and figures designed for humans. TheSemantic web aimed to add support for databases, vast collections ofinformation neatly organized to be processed by machines. Searchingproposed to be similar fashioned but having more machine understandablecontexts and semantics written in structured language for machines. Byno means is the semantic web aimed to build thinking, feeling ArtificialIntelligence, but merely to collect data in a useful way, like a largedatabase.

Thus interacting with uncontrolled information and communication mediaof internet refers to indirect civilization, wherein we are having twolives to live with, a true-life and a fictitious one, internetinformation doesn't reflects the relations and contents available intrue life, though it provides unlimited unstructured communicationopportunities. Trading is also a human centric process; hence itsignifies the human involvement in the e-commerce activities, which ispresently highly machine based process, we need human interpretation toarrive at a judgmental state of mind, as one of the intriguing aspect ofknowledge gaining is it needs fresh resources to check, recheck andcrosscheck available information to fulfill and satisfy brain demand soas to convert the said information into dependable knowledge.

However human psychology towards receiving something from somewheredepends on his trust in the source of knowledge. Globally knowledge isdistributed in plurality of human brains, which need to be preidentifiedto prosper trust towards knowledge seeking behavior of human being.Currently knowledge management systems which are under public use aremainly addressing broader issues and are subject focused in nature, onesuch example is of www.expertsexchange.com, which is a knowledge portalmainly provides answers for computer science related questions only thattoo from unidentified experts, wherein knowledge seeker and expert doesnot undergo a active dialog, which ultimately put the questions at theperusal of the said expert thus not ensuring any control over timelydelivery of answers. Thus one way communication pattern seems to be notvery systematic and intelligent enough to guide knowledge seeker torelevant expert.

Similarly existing internet advertisement and eCommerce facilities aretrying to communicate with users at pretty superficial level whichsimply can't appeal to human psychology unless very relevant or which isexactly what a particular user is searching for. The similar eCommercerelated advertising contents are exemplified in the patent applicationno 20050165656 which is teaching enablement of wide scale programmaticinteraction of heterogeneous applications and computers by means ofprevailing protocols including HHTP, SOAP, WSDL and UDDI via invocationof plurality of web services. Interestingly the said system enablingwide scale management of web services providers and web servicesconsumers, assuring the sales transactions facilitating ecommerce inmuch transparent way. Though this system works efficiently within itsboundaries, on the downside lacks real time human intelligenceintegration and use of it to facilitate ecommerce, as that's been theusual way the trade works in real life. Still further though centralizeweb services invocation provide comprehensiveness, consistency, enhancedsearch features unfortunately has certain inherent shortcomings on theground of local control, flexibility, fixed file formats and prohibitedsharing thereof, huge server and indexes maintenance, dependency onserver for all resources. The system does not have any provision formultilateral communication, also real time knowledge invocation is notpossible and anybody can not contribute anything from anywhere and aswith other systems here too users are made passive, restrictingcommunication with unknown.

Presently available all systems of communication mainly works on theunique identity of users, the same is highly ignored aspect in internetcommunication, leaving apart knowledge sharing a more sensitive andvalued entity, which catapulted into open unstructured informationplatform which provides open ground for cyber crimes, theft and insecurecommunication. Understandably enough we discuss, share and communicateour private, sensitive and secrete matters on phone just because we knowidentity of a person and we believe no body else is tapping in betweenthe wires the same doesn't applies to Internet information communicationmedium.

Hence it presses on paramount requirement of human identity throughoutthe network to share securely. A unique identity creation underlinesimagination of serialized and structured world wherein each identityspecific changes are stored, monitored and regulated with systemsoffering access on the basis of said unique commonly defined parameter.This sounds something over demanding from our social and civilizedpractices and governmental machinery to devise unique identity. Thereare various pitfalls which we have come across and badly experiencedsince the advent of Internet including cyber crimes, hacking, virusesspreading, etc, all because of unknown identity and opportunity to bedestructive at will without harming oneself.

The secured systems can only foster knowledge availability in thenetwork environment the same not guaranteed today hence point towardimportant global concern of human knowledge, skills and expertiseunderutilization. Furthermore all existing information and knowledgedissemination systems are working on a negative business model, whereinthe system doesn't provides users with an arrangement to proactivelyexploit system. In later case, users are considered as a passive entityand can't offer any services to the system thus a user in possession ofknowledge; skills and expertise are not used at all.

The wastage of human knowledge requires formation of human grid toexploit the enormous human brain power. Lack of security pointing outidentity creation challenge to keep track of knowledge sources, offeringlocal processing, sharing and data management are some of the featuresnot available in existing information and knowledge systems.

Hitherto knowledge induction for individuals, entity and institutionshas been organized by means of libraries, scholarly journals, digitallibraries, exhibitions, symposiums, conferences, classroom teaching,mentoring etc. All of the above methods of knowledge inductions requirecommunication, wherein communication forming the essential media forsuch induction. Through advances in information technology, this veryneed of communication has been tremendously addressed evolving pluralityof communication modes including email, chatting, massaging, videoconferencing, and online coaching, etc. The preceding modes thoughproviding efficient ways of communication lack system for aggregation ofknowledge. It seems that the very premise of knowledge management hasbeen misleaded or misinterpreted by industry wherein all prior effortsare concentrated on making system (digital) more intelligent so as toimpart knowledge to human being, which is not true as best mode ofcommunication is human to human communication, wherein technology isalways going to be facilitating instrument doing some part of humanbrain rather than one having a exact human like behavior andintelligence, wherein the behavior propound the dynamics of human bothmental and physical activities.

Information technology and contemporary related technologies hasaddressed this issue of human to human communication through pluralityof ways including public domain access media i.e. internet providingfree information with easy access by means of search engines enablingthe selection & filtration of huge information contents on the webcomprising Static, out dated (not current), irrelevant, not processed.Unfortunately the precision and relevance level of results of existingengines are not satisfactory though useful with plurality of attemptsand efforts therefor. Similarly the ecommerce and marketing featurethereof has been restricted because of multiple practical problems facedby trade and industry requiring authority, genuinity, and physicalguarantors towards purchase, no doubt technical implementation has beensuccessful carried out, it is still lacking on the user-friendlyextensive ecommerce enabled features and are deemed necessary for nextgeneration cyber trading business.

In the category of private domain access i.e. peer to peer communicationhas been extensively used and perused system for social, relational &personal networks and other networks including business andenterprise-wise networks still human intelligence aspect of the same isnot addressed with similar nature of problem facing the industry withincreased contents thereof, catapulting the similar efforts to theknowledge management initiatives. The seamless activity of knowledgesharing is possible only by institution of systems facilitating anythingbeing potentially connected to anything. However although P2P computingsystems being able to establish a direct connection with each other thatenables the sharing of data and system resources with minimalinvolvement of centrally managed servers, what is not available thereinis relationship dynamism management to accommodate dynamic networkconnectivity pattern and enhanced decentralize mode of operandiproviding significant level of autonomy to users from centralized indexor repository. P2P is proving to be a promising to improvecommunication, collaboration and information sharing. The sharingcapability of the same is exemplified by one or more applications likeNapster and Gnutella which have made it possible for internet users toactively share MP3 files across the net without the need of a centralrepository of files. On the similar lines a P2P based knowledge sharingsystem is still in the nascent stages as one cannot tag knowledge asfiles.

On the communication front P2P has also made real time communicationpossible by instant messaging. The enterprise wide enablement effortshas resulted in pretty effective P2P systems such as Groove Network,OpenCola, and Nextpage which are promising range of communication,collaboration, search and file sharing services.

In a debate over centralize versus decentralize system, each onedemonstrate its own advantages and disadvantages wherein on one hand ascentralize system offers wide scope, control and organization on theother hand decentralize system promising future advantages of ad hocloosely coupled systems, specialist file sharing, and specialistindexing and deployment. Groove and Napster being ad hoc and looselycoupled systems offered creation of virtual teams, and cross-company B2Bprojects facilitating multidimensional collaboration assistance which isnot possible with centralize system. Searching nodes for information inP2P does not call for file type redundancies as with central serversoftware which is more data focused than actual resources; an extensionof similar studies is underway on JXTA P2P Platform.

Collaboration and discovery are important aspects of knowledgemanagement in a P2P environment one such example of it is a GrooveNetworks developed by Ray Ozzie which offers a Groove platform fordevelopment and deployment of collaborative solutions based on peer topeer communications. A platform consists of the Groove client,underpinned by system, development and integration services, enablinggroup of users to communicate and share information using a set of outof the box tools including instant massaging, live voice, text chat, andfile sharing, viewing and editing. Similarly knowledge discovery in P2Penvironment refers to knowledge searching, an up healing andsemantically improved task. On the front of information discoveryOpenCola, a Open Collaborative Object Lookup Architecture provides peerto peer model for information discovery having application platformusing autonomous, collaborative agents to collect, analyze, and deliverdynamic content wherein users with OpenCola Folders defining areas ofinterest by selecting relevant documents and Opencola's ‘relevancequeues’ locating other OpenCola peers and looking for the document thatmatch the profile. Relevant documents being returned to the user who canscore them for relevance and thus train the Folder about theirinterests, thus searching on the basis of user profiling is significantadvantage of P2P systems. However searching and relevantly matching bymeans of metadata automatically generated by said system poses seriousquestion on the relevancy factor of the search results, making knowledgediscovery a difficult task, though technology is promising in thatregard.

Till date all knowledge management projects are mainly concentrated atmanaging knowledge resources at an enterprise level having limitedsubjects to deal with having passive environment of client-servermethodology to access a knowledge base. However a distributed modelworking on the P2P platform for active knowledge sharing has yet notevolved.

It is well established in the industry that knowledge sharing is anactive process rather than currently followed passive process. Foractive sharing one needs to hold active communication, underlining therequirement of human intervention in the very process of knowledgediscovery thus none of knowledge discovery is complete without humancommunication. Presently available communication platform like Chatplatform forms an effective and interactive mode of communication. Thenon real time counterpart of the same is discussion groups or Usenetwherein each user joining in discussions, ask questions, help otherswith questions, make announcements related to the group, or just seewhat others are talking about. Thus forming reactive forum discussingone or more undefined topics making the discussion matter out of scopeof subject matter further adding to the irrelevancy in the process ofknowledge discovery.

All communication within a discussion group is carried on by e-mail. Auser joins or subscribes to a group and then shares in the discussionsof the group. A message sent to the group is usually broadcast viae-mail to all members of the group. So these discussions are public.There is an exception; some groups are moderated and a message sent tothe group is first routed to the person serving as moderator. On thedownside the lacks of control lead to disastrous ending and unwantedspate in the members of the group wherein ‘flame’ being the usualphenomenon includes insulting, scolding, berating, or downrighting nastyabout the author of the original message, which is far away from anyvaluable information sharing and doesn't solve any means. Furthermoreseveral Usenet, social, relational and personal network developmentinitiatives have resulted into big failure because of multiple reasonsincluding lack of control, lacks of matching, searching shortcomings,lesser value added contents.

ECommerce because of financial concerns being significantly importantfaculty of knowledge discovery regarding product sell and purchasingmake human involvement mandatory, the same is emulate by variouscompanies by extending existing call centre technology into Internetsales environments. The further improvement of it is realized in termsof customer Relationship Management modeled in online mode as eCRMfacilitating availability of product catalogs and FAQs not satisfyingcustomer need up to the mark, few of it facilitates meaningful, directhuman interaction through online channel. However online chatting orinstant messaging is the most personalized and sophisticated mode ofinteraction provide effective tool for rich interaction includingguiding materials and voice over IP (VOIP) communication, if the all thecommunicating parties having right equipment to their computer. Stillfurther the existing systems declining the very availability of experthuman to transfer knowledge and a system meant for searching andmatching the same.

In an attempt to add more intelligence to communication process, inpatent application no 20050044008 providing a method for customer needsidentification and accordingly forwarding the same to appropriate agentfor sales transaction. The customer however, while engaging sessions onthe enterprise web site is not an identified entity, thus chances ofconsidering casual customers as a serious prospective customer are moreand ultimately leading to increased failure in sales transactions.Identification of customer can provide monitoring ability to well judgethe prospective customer profile and the same is missing in the presentsystem. Also the system function is only limited as a supplementarymodule to ecommerce facilitation. The problem of effective asking &providing knowledge, knowledge community building and collaboration arefar away from sight due to centralize structure of the system.

In the U.S. Pat. No. 6,938,068 issued to IBM a knowledge delivery systemis devised wherein plurality of experts are categorically and qualitywise listed in a centralize database are questioned by one or morequestion poser and expert answering the question. Though this forms aneffective knowledge gaining medium, the communication is only a one way,wherein users can not contribute anything to said system other thanquestion. Further a class of dumb students where only teacher isdelivering knowledge and students are only listening to it forms aabsolutely ridiculous and wrong learning method, learning is a prettyactive process wherein knowledge seeker always desirous of discussing itwith the peers, the system lacks such arrangement putting users in anunidentified discrete isolated environment.

Further aspects of knowledge progression are not taken intoconsideration wherein the system leaves preidentified experts withoutany assistance to gain, manage their knowledge resources to solve theirproblems, subsequently resulting in the poor quality of answering asknowledge is a actionable intelligence engrossed in the brain throughdirect experiences or indirect experiences and needs active interactionfor its progression, the present system curtails this very mandatoryrequirement of the knowledge sharing.

On the economic front the present system follows a typical shoppingstore customs of customer as a purchaser and service provider as aprovider. However knowledge is such an entity which all human bears inone or the other sense, hence everybody should be able to share and saleit, the one who is in possession of it should be able to price it,negotiate it and sell it within his abilities and system having qualitycontrol over it.

The present system doesn't insures instant knowledge availabilitybecause of its centralize nature, as experts are listed on thecentralize web site, a knowledge seeker attempting to pose question mayencounter busy status, this expert unavailability problem is identifiedin an another U.S. Pat. No. 6,871,322 issued to IBM, wherein the posedquestion queuing method is adopted, which ultimately results in withheldtimely delivery of answer to the question poser, thus the very issue oftimeliness of answering is not solved.

In an another patent application no 20050086290 a method for expertsupport and system for customer interaction is provided wherein thoughthis system provides advantage over the prevailing services like “Googleanswers” (http://answers.google.com/answers/) and yahoo answers(http://answers.yahoo.com/) in terms of instant online interaction withcustomer mediated through dummy expert called agent being supported inthe background by real expert group. Such system may work effectivelybut would again be forming a class of dumb knowledge seekers, listeningto experts and more interestingly lacking freedom of expansion whereinwith increase in the subject matters experts group will keep onincreasing, it will become for this system to handle the complexities ofexpert group management as the system itself is of limited scope tosupport the customer service division of any enterprise, does notsimulate the public wide knowledge sharing network. Whereas Google andYahoo answering systems are typically passive answering systems whichare more a entertainment than serious knowledge dissemination where aquerying party posing their questions and experts answering the same incertain estimated time, wherein the experts answering the questions arenot identified and no provisions are made to provide freedom on part ofusers to choose the experts or to contribute own expertise into thesystem as user is also a unidentified entity, further the expertsliability towards improper answer is also a debatable issue.

Similarly yet another patent application no 20050283474 aimed atcentralize knowledge base creation in preidentified categories thereofwherein the said knowledge base is created through collaborative effortsof distributed contributors who input their questions and answers pairsalongwith its classification into the system by means of look up tablesso that the knowledge seekers while extracting knowledge from the systemcould identify precategorised knowledge by means of similar look uptables. On the flipside, again the said system illustrating only aenterprise level limited knowledge management system having no controlover the data inputted into the system. Further the system doesn'tencourage human to human communication, hence lacks real timeavailability of knowledge, wherein the systems ignoring the contextualrelations between preidentified categories and keywords also does nottake into consideration variability, absolency and dynamics ofinformation in form of answers stored therein.

Yet another U.S. Pat. No. 6,901,394 issued to AskMe Corporation teachesan enhanced knowledge management system facilitating person to personknowledge sharing via centrally managed knowledge portal exerting loadon said system resulting in delay at the user end. Further thecommunication between knowledge seeker and expert is one way wherein theexpert is acting as passive entities, merely listed under a list ofexperts denying the consultative knowledge sharing wherein suchconsultant is paid for impartation of particular expertise of knowledge,thus underlying the causal connection of information and knowledgevaluation and economics behind it and same is not addressed in thepresent invention. Further the answering methodology is not controlledhence system cannot guarantee timely answers, and reiteratively aseconomics behind answering queries is not clearly defined hence keepingusers away from competitive quality and pricing.

In an attempt to widen the scope of relevant human to humancommunication so as to add collaborative intelligence in searchingInternet resources a U.S. Pat. No. 6,745,178 issued to IBM teaches amethod for tracking users of similar interest based on certain rationaleof results called answer sets of one or more proprietary search engines.This technique relies on historical user search trends to make basicassumptions as to compare desired information. On the flipside thoughsystems technically seems sound in deriving matching algorithms, thematching parameters itself is a weak candidate to compare, as humanintegration in a network medium is possible only when the partiescommunicating are at a currently considered instance are interested inthe subject matter or not. Matching the uses on the basis of historicdata contents may result in the mismatch as any user may no longer beinterested in the subject matter. The human behavioral dynamicity beinguncontrolled act is highly ignored fact while devising the presentmatching methodology wherein said dynamicity of users in terms oflikings, behavior and needs may culminate into the system indexing toomany things related to each user which may become uncontrollable.

Further context of queries matching based on score difference ofrespective answer sets facilitating matching seems to be quite dubiousapproach as prestored answer sets may loose contextual attachment withthe queries resulting in error matching score and hence irrelevant usermatching.

Still further the answer sets are formed from the plurality of searchengines, as each search engine uses different search algorithm result indifferent search results for similar search strings, hence derivingsimilarity score based on the one or more different sources of searchingfollowing different methodology of semantic interpretation may result incontextual mismatch even though having match score much above thresholdlevel.

The indexed data, answer sets storage and handling of multiple queriesat a centralize server accounts for enormous amount of hardwareresources, wherein timeliness of such collaborative searching andchatting can not be guaranteed considering the fact that users arelooking forward to faster and more relevant search results.

The complexities involved in adding intelligence to human queryinterpretation and reply by the machine has been addressed through theartificial intelligence enablement of man machine interaction by meansof capturing semantic details of the same through specialized tools oftaxonomies and semantic ontology. In this effort it works best for datainterpretation, the further part of it including the supernatural humanability to understand context and related perspectives can not beaddressed beyond doubts.

As human abilities of experiencing, real time answering, both implicitand explicit understanding of matters, problem solving capability,knowledge, guidance, guess, suggestion, logic, interpretation, andrelated data interpretation is beyond comparison with relationallyempowered intelligence of computing machines.

Till date presently available web technologies and other communicationmedia are more or less passive in nature. The concept of bloggingproviding an effective active medium for knowledge sharing. Still isrestrictive and lacks organizer and other management mechanisms toderive most relevant as well as real time knowledge through activedialog.

The internet and peer to peer infrastructure comprises enormousuncommunicated information, making the present digital repositories lessknowledgeable. Also as information being a dynamic entity, changesrapidly wherein untraced information in human brain demands certainorganizing and managing means. The real time communication with relatedpeers by means of interest wise peer identification has been enabled invarious chat and centrally managed limited knowledge management systems.The one such example of peer to peer enablement is KAZZA wherein peersin the distributed network are communicating via file sharing and thatof like peer identification is SKYPE wherein like peers are identifiedand informed to the communicating users online in the a particular chatsession. However these existing peer to peer communication systems onlycommunicate and identify information and not knowledge, as knowledge isoutstandingly differentiable entity in comparison to information. Thusexistence of information and existence of knowledge are two similarpossession of brain; they can be very well identified with respect tohuman expertise. And human sources of expertise need to be preidentifiedand should be under control based on quality and knowledge disseminationbehavior, the same not even suggested in existing systems.

Further the knowlegibility aspect of the these information means isimproved upon by means of search engines, unfortunately search enginessearches having lesser relevancy, provides improper and incompleteresults. Since indexing methods of keyword possibly would be identifyingsources which are out of context to the user hence irrelevant. The lackof semantic in existing search engine restricting the presentinformation jungle of web to a mere mine of irrelevant junk informationfor users. There are various information search engines to find theinformation are www.google.com, www.yahoo.com, www.baidu.com,www.altavista.com etc. If we look at certain preorganised informationdatabases like www.dialog.com, www.stn.org, which provide search resultsof higher relevance, it prudent fact that ultimately at the backgroundof it lot of human knowledge expertise is rendered to organize, index,classify and add value to it to get better search solution, thusknowledge organization and dissemination are certainly human centricactivity which require technological facilitation for faster, effectiveand environment specific enability.

Centralize indexing has inherent severe security & managementlimitations, further universal search is not possible wherein prevailingsecurity concerns does not allow anybody from anywhere anything, theprobable solution soughed after for enabling universal search is desktopsearching, however centralize model for desktop searching wherein eachof desktop by itself is a computing resource does not suit and supportuniversal level adaptation. Rather use of the desktop for indexing selfdata and making them available for searching sounds to be workableconcept.

Security of users' data and information in the network is of paramountimportance when operating in an organized networked environment forsuccessful implementation thereof hence while indexing user's computercontents the usability control must rest with the user himself/herself.In this context permission based sharing is not practiced in thepresently available desktop search engines.

The general approach followed even during hot discussions about theeffective enablity the desktop search engine is about only sharingcontents and indexes to make them searchable by others, whereas actualentry of the said searching keyword is not regulated at the host desktopwherein the each of host cannot predefine its preferences for allowingsearch for any of the keyword or taxonomical derivatives thereof whichare obliviously linked through parent class thereof. Thus blockingsearch conduction at the host requires distributed processing of theindexed data and its host level validation for secured operationthereof.

To inculcate the aspect of semantic intelligence a formation of semanticweb by means of implementation of semantic ontology and RDF technologiesare underway, which are proving to be very complex for users to operateand tedious in execution. These drawbacks of the prior art underliningthe importance of human intervention in the knowledge activity andmachine as a supplementary solution for intended solution.

Example: The question “How to setup Software Company in New York, USA?”can not be answered completely by search engines thus requires humanagents' multi Human Services combined with multi sources of informationenabled via technology and logical organization of the framework toenable technology is been addressed herewith as a principal of thepresent invention.

Still though exceptionally intelligent advertising methods are workingsuccessfully, the eCommerce enablement by that means is doubtful andquestionable. The significant basic thrust of either advertising oreCommerce is the customer. The existing system and methods though claimsto identify the related customer, the question remains if the said useris an actual customer. Hence it is well set and widely experienced byalmost everybody that the rate of eCommerce conversion from the saidadverting is remarkably low as the ad viewers are not the actualcustomers or the one who are being adjudged on the probabilistic modelof chances.

Thus what we further need is worldwide distributed knowledgeorganization and distribution system, ascertaining human to humancommunication for want of knowledge.

Timely knowledge is great help; hence a system which automaticallypresents a knowledgeable human expert agent in real time is highlyrequired.

An organizing and controlling means for accrediting such expert humanagents is needed as in case of any knowledge dissemination sources,which needs approval and qualification to operate hindering the improperutilization of intellectual properties.

Enhanced level of human mediation in all aspects of knowledge gainingand dissemination process via a technological enablement is an urgentrequirement.

A new rule based economic model to govern and regulate such humanmediation for more intelligent and satisfying knowledge and resourcessharing.

In the view of foregoing, the present invention disclosure of UniversalHuman Service Framework (UHSF) system and method provides softwareimplemented automation facilitating human involvement in the process ofknowledge invocation in a distributed peer to peer environment.

OBJECT OF THE INVENTION

The principal object of the present invention is to organize cybercivilization through underlining the “Human” aspect as most effectiveand prudent of all methods used to exchange, share and spread knowledge,forming a effective learning and evolution destination in all aspectsincluding academia, business, skills etc. even though being in remotemode.

Another significant objective of the present invention is to provideworld transformational model in terms of knowledge availability makingit (world) more intelligent and knowledge abundant by means of virtuallyempowering brains through Human Service Network (HSN).

Yet another important objective of the present invention is to deviseUniversal Human Service Framework (UHSF) providing intelligentcommunication system exploring the human information and knowledgeresources in terms of formulation of effective “human grid”

Yet another significant aspect of the present invention is tocommunicate securely with unknown human user or human circle via said“human grid” segregated in subject specifically allowing querying orsharing knowledge universally and search & share human minds logicallylike search & share information via internet (Human to Humancommunication & sharing)

Another significant objective of the present invention is to devising acentral authority forming a unique repository of information & providesmulti services and knowledge services.

Yet another significant aspect of the present invention isimplementation of artificial intelligent (AI) agents for searchingdomain specific info intelligently & in background i.e. without humanintervention

Yet another aspect of the present invention is to formulateinfrastructure comprising information and knowledge service providersand brokers thereof simulating anybody, anywhere, anything at anytimeinformation and knowledge system sharing information, knowledge,experience, guidance, consulting and other resources acquired by humanagents.

Yet another significant object of the present invention is to obviouscombination of services from such central controller (HumanServiceNet),multi AI Agents services, Info Service Providers and brokers.

Yet another objective of the present invention is to formulate Universalsocial networking framework based on information and knowledge sharing.

Yet another objective of the present invention is to devise reusable,repetitive and redistributable information and knowledge sharing andutility system.

Yet another simulative objective of the present invention is to provideinfinitivally resource address details represented in finer segregationthereof forming web style human linking with infinitesimally finerassociation thereof.

Yet another objective of the present invention is to constitute thesystem in layered segmentation following associated segregation of allinvolved parameters therein and imparting searching capabilities in thatregard.

Yet another objective of the present invention is to offer offline humaninformation and knowledge services via said framework.

Yet another significant objective of the present invention is toinstitute the said Human Service Network framework to function in Peerto peer environment sharing human knowledge, experience, information,discussion, and processing.

Yet another significant objective of the present invention is providefor configuration of search macros facilitating recording of each actionand events carried during the process of knowledge invocation by oneuser and transferring and playing the said recorded knowledge package soas to provide the system users with the ready to use knowledge packageand need not waste time, money and energy for the trifle cause.

Yet another significant objective of the present invention is creationof universal database structure for effective real-time and relevantsharing and searching of relational information and knowledge database.

Yet another significant objective of the present invention is enablementof universal desktop searching and ensuring security and dataconfidentiality.

Yet another significant objective of the present invention is to devisesystem for offering knowledge support services to the users.

Yet another significant objective of the present invention is to devisesystem for offering subscriber support services to the users

Yet another significant objective of the present invention is offersearching system and communication utilities which can provide anopportunity to communicate with the unknown in the networked system.

Yet another significant objective of the present invention is to devisemultiple modalities for understanding of human behavior, wants, needs,and understanding recording.

Yet another significant objective of the present invention is to provideappropriate services to most relevant and appropriate user viaadvertisement optimization system.

Yet another significant objective of the present invention is to devisesystem for enablement of rule based system operation.

Yet another significant objective of the present invention is to devisesystem effective clustered searching system.

Yet another significant objective of the present invention is to providefor ranked services and products to the system users.

Yet another significant objective of the present invention is to providefor repository and accounting of federated groups and services.

Yet another significant objective of the present invention is tofacilitate federation, aggregation, integration, choreography andorchestration, collaboration, comparison, coordination, workflow, andtransaction of plurality of tasks involved in the said distributednetwork.

SUMMARY OF THE INVENTION

Various aspects of the present invention including information andknowledge invocation functions, knowledge support function, human &computing grid utilization and UHSF system implementation for enterpriseworking, and widespread use of project planning, workflow management,and communication enablement are illustrated herein under describing ingeneral a typical use, exploration and exploitation pattern and methodof UHSF system tools and resources by the users.

Further aspects and advantages of the present invention will becomeapparent from the ensuring description, which is given by way of exampleonly.

These technological enablements substantiating the communication needs,wherein the further aspects of the said communication process leading tomanagement of such communicated or accumulated knowledge are largelyoverlooked wherein principal theory of knowledge generation is notfollowed. The Principal theory states that data generates informationand information once communicated to human being upon requisiteprocessing takes shape of knowledge and this knowledge further advancesknowledge, generating new data and information. It is largely understoodfact that human can interpret human in the best possible way whereindata and information transfer rate is highest and such transfereesituation wise modulates the contents, making it faster, relevant,concise and more knowledge inclined.

The replicative mode of global civilization has been represented bymeans of cyber existence of distributed components of plurality ofsocieties with plurality of cultural and ethnical backgrounds. Still onething is common, wherein all efforts are concentrated on exploring newdimensions of life through knowledge of the peers by learning andgaining knowledge. The cyber civilization is still too unorganized toimpart knowledge sharing amongst its peers.

The present Human Service Network (HSN) providing plugging interface forhuman brain to machine for active participation and interaction via thiscommunication media, wherein brain to brain communication is establishedvia Human Operating System (HOS) thus forming Human Grid (HG) by meansof systematically designed taxonomies, ontology and filtering mechanismswith plurality of ways of exploiting Human Services offered viaplurality of accredited human agents or knowledge sources selection interms of HSN Messenger, HSN Mail service and HSN online portal.

Another significant aspect of the present invention is a means tomaximize knowledge availability, sharing, and management thereof bymeans of infrastructure constituted therein. The constituted frameworkin principal is a set of brain mapping tools, wherein each query orsearch is directed to highly relevant brains (Human Agent) for knowledgedemand and such reciprocal multi-coordinated action are executed in anorganized fashion, wherein the such matched Human Agent

In the principal of the preferred embodiment of the present inventionhuman has been considered to be the best and effective source ofknowledge. Considering human knowledge at the centre stage as aprincipal component of the present invention. Moreover contrasting toother sources of knowledge human himself as a knowledge provider buildsthe principal ground of the present invention.

Since ages human being is at the crescent of information & knowledgeservices. Human being is a very flexible media of information andknowledge transfer wherein plurality of transactions can be carried outamongst and via human beings includes primarily each of accredited humanagent offering plurality of services referred to as human services,wherein the said accreditation status of the said agent in the field ispredetermined on the basis of precalculated criterions suggesting theexpertise of the said agent in the respective filed. The said humanagents are classified based on taxonomical and ontological derivationrepresenting conceptualization of a knowledge domain including servicesubjects and related information thereof. Ontology is a controlledvocabulary that describes objects and the relations between them in aformal way, and has a grammar for using the vocabulary terms to expresssomething meaningful within a specified domain of interest. Thevocabulary is used to make queries and assertions. Ontologicalcommitments are agreements to use the vocabulary in a consistent way forknowledge sharing. Ontology can include glossaries, taxonomies andthesauri, but normally have greater expressivity and stricter rules thanthese tools. A formal ontology is a controlled vocabulary expressed inan ontology representation language.

The present invention fundamentally reflects a system emulating tools todeal with and frame approaches as one follows in the real life dealingsin any of the societies around the world. The present invention based onthe “Theory of Knowledge Transmission” and extends further as everyhuman being experiences multiple things each day in his life time. Thusthe packets of knowledge are residing with each human being. Fewindividuals specializes by accumulating greater no of knowledge packets,in general others possesses one or the other knowledge packetsaccumulated via personal experiences, which are practically relevant toshare with others.

The present invention forming a system for transmission, reception andaccumulation of the said knowledge packets. The classification of thesaid knowledge packets via generating taxonomy and ontology of the saidknowledge provides for multiple tools to transmit, receive, search andaccumulate information and knowledge. Wherein the said accumulation andtransmission of information and knowledge is assumed to be cumulativeand continuous process. As stated earlier each of human being is inpossession of certain no of knowledge packets, these live humanknowledge bases are being provided with computational communicationinterfaces having mechanism for monitoring permission based IN and OUTentries via said interfaces and further management including storage andpecuniary transactions.

The present invention further provides real time communicationfunctionality via messenger, email, voice over IP, Internet streaming,wireless communication, video and public switched telephone network(“PSTN”) in an distributed environment, that facilitating live andeffective communication between the said packets transmitter andreceiver thereof. However the present invention is in generalfacilitating the development of social networking by identifying eachindividual with respect to his/her areas of interest, and needs.

The preferred embodiment of any data, information and knowledgetransmission system is the precise configuration of the communicationlayer of the entire system and flexible designing of its internaloperating software components and external performing human component.Largely this aspect has been addressed through evolvement of variousde-facto standards including JAVA, and working platform wherein platformindependency for universal functioning of standalone, networked orinternet wide applications are enabled, however the concept of providinga universal platform itself over which one can streamline the process ofdata, information and knowledge sharing, transmission and receptionhasn't been through of or proposed satisfactorily. In the yet furtherextension of the internet exploitation to offer multivendor web serviceswhich are software system designed to support interoperablemachine-to-machine interaction over a network which are typically basedon the Java, IBM, Microsoft etc. The present system forming a platformindependent solution working on windows, XP, Linux, etc.

The inter systems interaction with the Web service is carried out in amanner prescribed by its interface defined via WSDL using messages,which may be enclosed in a SOAP envelope, or follow a RESTful approachand are conveyed via HTTP having XML conjunction with other Web-relatedstandards. Software applications written in various programminglanguages and running on various platforms can use web services toexchange data over computer network like the Internet in a mannersimilar to inter-process communication on a single computer. Forinteroperability de-facto standards are consentauly following openstandards wherein OASIS and W3C are the primary committees responsiblefor the architecture and standardization of web services. The furtherefforts are poured into it to improve interoperability between webservice implementations the WS-I organization has been developing aseries of profiles to further define the standards involved.

The present invention is for use in connection with the Internetenvironment as offered access via online portal (HSNOP) and morespecifically in the distributed peer to peer environment, whether wiredor wireless including smart devices. The present invention hasapplication in offline environment wherein replication andsynchronization techniques providing for updated as well as scheduledinformation. For example the information about the products during theproduct market research from the machine of the field executive who isworking offline is replicated and synchronized in all of the linkeddatabases of the other users of the enterprise related to productanalysis.

The present invention employs framework for the Rapid Rich Web Clientdevelopment which uses DOT NET REMOTING asp.net. This framework allowsto manipulate complex data (Objects, Classes) on the client the same waythe data is manipulated on the server. This framework unifies the clientand the server programming. It creates the replicas of the serverobjects on the web client and provides the means for data initializationand delivery. The client and the server objects are interchangeablewherein SDK for .NET allows to build Bidirectional network applicationswhich provide for Bidirectional synchronous and [or] asynchronouscommunication by sending the objects or executing methods on the serverand are accessibility for Clients behind Firewall or Proxy, Supportedprotocols TCP, HTTP, UDP, HTTP and TCP & UDP Object based Broadcasting,File Transfer, and Encryption.

However the general development consideration varies and generally caseand situation specific wherein selective employment of VB dot net, Aspdot net, C # dot net for online, offline and smart applications will bedependant on the enability grounds. The UHSF system applicationssupporting range of existing Protocols including HTTP, TCP/IP, FTP,SMTP, POP, wireless protocol, and Bluetooth wherein the UHSF HOSproducts and applications are abiding these protocol in the peer to peeroperations mostly and centralize web functional model remains the same.

Similarly the said product research company can engage one or moreaccredited human agents for the accomplishment of the product researchin one or more territories by using human services offered therebywherein offline human services via centers can also be provided.

The present invention specifically addresses the current lack ofinformation and knowledge management and integration function within thesame system installation or accession online. Currently availableinformation and knowledge are in the complex format, each informationand knowledge facilitating system having its proprietary storage andtransmission formats wherein integrating such complex information andknowledge leads to horribly awesome situation. The present inventionprovides for integration of all functions required for easement ofinformation and knowledge seeking.

The present invention provides for development of new enterprises andservices while, acting as channel node of the said UHSF system, thefunctional aspects are being manageable by said enterprises via saidsoftware applications, tools and utilities in conjunction with thesystem, resources and various subscribers & channel nodes actingtherewith.

In an another significant embodiment of the present invention the UHSFsystem framework further provides for enterprise wide information andknowledge management via UHSF prototype implementation wherein the firewalls and other external information sharing functions are customized atthe administrative intervention, the system rule and protocols acting inthe same fashion as what has been used in the universal solution, theapplication and utilities are being part of implementation and upgradesand updates are regular feature of the said system.

In a notably significant embodiment of the present invention as statedabove information and knowledge invocation through human involvement viaremarkably interactive tools emulating real life interaction providinghigh end communication enablement with provision to keep tract of eventsand history is facilitated via imperative searching and matching system,logic and algorithm, wherein multiple search options provides supportfor variety of needs of each of searcher in the system. For example: anart enthusiast who wants to purchase sculptures would not only beinterested in knowing only the sellers thereof but also would like toknow the other persons who share the similar interest. Hence thesearching strategy employed would be to search for get Sources, as wellas to get HSNS options so as to receive two different sets of searchresults serving to two different intends of the same searcher. Whereinthe get Sources providing the list of vendors dealing in that subjectarea for further facilitating the eCommerce operation and get HSNSproviding for matched HSNS having the same liking as of the searcher fordevelopment of social networking and relationship network.

In the present invention a searching system has been devised consideringa human information and knowledge seeking behavior paradigm, wherein thesaid system has clinically preidentified the human psyche of informationor knowledge goal achievement. For example if a said art enthusiast fromIndia is planning to purchase a sculpture, a typical goal orientedsearching pattern can be identified on the following quantifiersresulting out of sequential thought process:

Goal 1: Art sculpture purchasing:Question 1: who is the vendor who deals in it?Question 2: who else has earlier bought it?Question 3: what other purchase options available? (Exhibition)Question 4: who is currently interested in the subject matter?Question 5: To whom I can consult to?Question 6: what are information resources available in the subjectmatter?Hence a typical searcher frames his/her goal in a keyword format eitherusing command or simple text query. However noticeably enough thatsearching for other facets of art and sculpture while searching forvendors for a typically defined sculpture is waste of searching energyand ideal preparation for lesser relevant search results. As it iswidely experienced that presently available searching system beingsimply index based searching system only carries on searcher from onerelated topic to another rather than sticking to the exact definition ofthe search goal, wasting time and adding to the distraction of thesearcher. Thus as explained in a foregoing example a typical informationand knowledge seeking behavior of a searcher, wherein a prime searchingfocus is on the broad goal in the mind and serial questions related toit regarding sources, people and persons to whom he/she can consult to.The generalization of this very human psyche will be evidented from thefollowing another example wherein an international Art society at Parisis interested in procuring of some of the fine sculptures collectionsfrom India, would typically go about this in a sequential thoughtprocess as follows.Goal 2: sculptures procurement from India.Question 1: who are the vendors of art and sculpture?Question 2: who else has earlier bought it?Question 3: what other purchase options available? (Exhibition)Question 4: who is currently interested in the subject matter? Question5: To whom I can consult to? Question 6: what are information resourcesavailable in the subject matter?Wherein searching for question 2 answer shall come across an artenthusiast from India, who would be the suitable person to get intodialog with. Thus at every search attempt one behaves in a pattern ofserial questions and is inquisitive about sources, people and persons towhom one can consult to.

In the fundamental embodiment of the present invention providing for asystem, method, computer program products, composite search algorithmand a business method for a computationally assisted human mediated andrule based information & knowledge invocation.

The said system is preferably a distributed Universal Human knowledgeinvocation Service Framework (UHSF) which facilitates aggregation andconvergence of each of components externally as well as internallyconnected and configured within the said framework. The UHSF systemcomprising of plurality if internal and external components. Theinternal components specifically, identified in terms of humancomponents and computational components. The human components arestrictly role specific and acting in a predefined channel defined by theUHSF system during the registration or accreditation process and each ofhuman component is known as channel node comprising of multiple users,service & product providers and includes:

i. plurality of Developers (HSND)

ii. plurality of Human Agents (HSNHA)

iii. plurality of providers (HSNSP)

iv. plurality of AI Agents (HSNAIA)

v. plurality of brokers and (HSNB)

vi. plurality of subscribers (HSNS)

each of human components is identified with respect to the role it hasopted for or being assigned to it based on the credentials thereof.Subscribers (HSNS) representing a user component of the UHSF systeminformation and knowledge resources, exploits the services and productsoffered by other channel nodes. The provision of the performing rolesassignment in the said system ensures the strict protocol determinationand more essentially enables the successful information and knowledgeinvocation.

In an another aspect of the present invention each channel nodedownloading and installing or subscribing online one or morecommunication software clients including HSN Messenger, HSN Explorer,HSN Email, HSN Online Portal, and HSN Web Services and posting onlinechannel specific registration request including consumer definedproducts & services and use conditions thereof with HSN Controller andreceiving product key and/or package keys after request validation byHSN controller alongwith concurrent synchronizing said channel nodeentry within UHSF activating requested rights.

In the priming mode of the system operation any person, entity desirousof connecting the UHSF system for any of the specific channel node ormultiple channel nodes requests for award of role specific registrationkey (package key) wherein the said prospective channel node logs on tothe UHSF online portal (HSNOP) and is being directed to register throughsequential registration steps. Upon successful registration beingprovided with package key or bundle package key for one or more roleactivation requested. The said registration process comprising oftypical credential checks and profile verification to ensure securityand reliable authorization of each of channel node in the system.

The registration details generally include identification details,address details, profile of the channel node and role intended toperform in the UHSF system, wherein the said registration, certificationand verification is being administered via HumanServiceNet controller, aunique channel node responsible for all control, administration,repositing, routing and monitoring of each of action in the said UHSFsystem. This particular registration model though having postregistration operations in the peer to peer distributed environment,registration process is typically is carried out in the centralizecommunication model via web server, having its own advantage forinformation processing & management for administrative purposes, whereinverification function can be left at the third party perusal andaccreditation, certification and ranking of each of verified channelnode is carried our via HSN controller.

In the present invention the system provides for presegregation ofinformation and knowledge into taxonomical classification havingpreformatted as well as ready to customize ontology of controlledvocabulary expressing the instant knowledge representation in the saidknowledge domain, wherein the indexing system indexing the saidknowledge representational vocabulary so as to map the saidtaxonomically defined knowledge domain. In the UHSF system each ofchannel nodes are provided with at least one knowledge domainidentification via taxonomy classification thereof, which furtherfacilitates the search function wherein the said knowledge domainidentification is in ontological agreement with the metadata assignedfor each of information and knowledge units defined. In the presentsystem each of the channel nodes falls in one or more taxonomicallydefined subject categories having ontology of controlled vocabularydefined therewith and searchable via said controlled vocabulary.

In an another significant embodiment of the present invention knowledgeis invoked from the each of the Human Agent (HA), wherein each of HAbeing taxonomically identified in a specific knowledge domain,facilitating knowledge dissemination in the said knowledge domain uponreceiving the query from the HSNS. The process of knowledge invocationby each of HSNS is a typical questioning and answering method at thefirst instance. However the UHSF system provides for value added onlineconsultation platform to each of HA and providing for plurality ofinteractive tools and resources for validated information,communication, linking and routing. Wherein the said HAs forming apersonal knowledge network preferably known as Human circle for sharing,collaborating and forwarding the queries to one or more members of thesaid human circle. Each of HA can be member of one or more human circlessubjected to knowledge domain identification validation by the saidhuman circles. Each of subscriber (HSNS) searching for one or more HAsand posting query to one or more HAs based on the UHSF wide rankingthereof via query manager application or via one or more Human OperatingSystem (HOS) products for information and knowledge invocation,communication, data management and knowledge project planning functions,wherein each of HA upon receiving the said query answering the saidquery via answer manager application and optionally publishing the saidquery and answer.

Information and knowledge invocation in the real life essentiallyinvolves communication, wherein the said communication incorporatesplurality if aspects concerning the said knowledge domain. In thepresent invention communication is enabled via various communicationtools including email, messenger, VOIP, video and communication via thesmart devices and the other aspects including plurality of task ofreferencing, reviewing, forwarding, linking, routing, storing,comparing, computing, publishing, pushing and pulling are enabled viamultiple software tools, utilities and applications developed by one ormore developers (HSND). Wherein each of developer developing one or moresoftware utilities and applications and issuing product keys afterreceipt of specified consideration in response to the productsubscription request from the set of plurality of products thereofincluding communication and ontology service agents, attached utilities,applications, rules based software applications and domain specific AIAgents posted via one or more communication utilities by registeredHuman Agents and Subscribers and each of users consuming said subscribedproducts and services for offering and accessing plurality of servicesthe said applications.

In one embodiment of the present invention the automation in the systemis generally incorporated by means of functional task specific AIagents, wherein the UHSF system possessing default AI agents and multiAI agents serving essential automation function. In addition to this theenhanced and task specific AI Agents and multi AI agents are developedby various developers, wherein the development of AI agents may form afunction of number of requests or demands received from the UHSF channelnodes. Each of AI agents operating in the UHSF system is based on FIPAstandards and may follow any contemporary standards available therewith.

In the process of information and knowledge subscribers are furtherassisted by one or more said knowledge domain specific brokers,facilitating referral of one or more Human Agents and Providersfacilitating availability and referral of plurality of informationsources including 3^(rd) parties services via web services to consumersthereof. The said brokers forming an intermediate interface between thesubscriber and the knowledge source i.e. human agents and serviceprovider. The broker active channel node having knowledge specificunderstanding regarding the system behavior based on the rank assignedto each of human agents and on the basis of previous results of the saidquery. The broker being a live medium for determining and analyzing thequality of the said knowledge invocation system is empowered to assignrank to each of human agent encountered in the process of theirmediation. The brokering services are offered are either one way or twoway brokering, wherein each of broker providing package keys to one orboth the parties and receiving commission.

In an another aspect of the present invention the said each of serviceprovider (HSNSP) providing for the information resources related topreidentified knowledge domain via package key and to the third partiesvia web services invocation logic.

In an another aspect of the present invention the UHSF system thoughworking in the distributed mode of communication the centralregistering, ranking, indexing and repositing functions provides forplurality of lookup directories for each of channel node and informationprecisely segregated in the exhaustive taxonomy wide knowledge domainshaving ontological controlled vocabulary attached therewith. Each ofchannel nodes in the UHSF system primarily searching directly via thesaid lookup directories and in an alternative searching attemptemulating the said lookup directories to route and process the saidsearch term through the specified search processes.

In an another aspect of the present invention the HSN controllermaintaining the data repository in the predefined taxonomical knowledgedomain classes termed as Universal Knowledge Information Databases(UKID). HSN controller defining broadly the UKID structures for datamanagement and universally uniforming the said data structures, whereineach of channel node downloading the said data structures for specifictaxonomy of identified knowledge domain for personal data management andsharing forming Local Knowledge Information Databases (LKID) structures.Each of LKID of each of channel node combinely constitutes UKIDstructure, wherein any updated or new addition or amendment of thetaxonomy structures are alerted and synchronized in UHSF system wide. Inaddition to this UKID structure are searchable and each of LKIDfacilitates sharing and data migration in the distributed environment.

ABC online shopping mall has 100 of products and service categories,download existing related taxonomywise UKID structures via search andmatch. download required utilities via HSND, customize datastructurei.e. LKID, data inputting from multi sources via tools and utilities,index all data of each of databases, publish selective or full index torelated one or more taxonomywise SN, publish all databases for publicuse. Customer XYZ wants to purchase mobile before purchasing he requirecomparative analysis based on price feature and latest model and othercriterions, send one or more keywords to UKID i.e. all LKID, SNautorouting request to related multi LKID or matched multi LKID or viascanning SN directory or get KSS support, each LKID search the contentsrelated to the mobile keyword, send pointers to searchers, searcherselecting the related sources for full consents and then download thedatastructure and related contents and then compare the mobile pricesand preferences to order the mobile for purchase.

In an another significant embodiment of the present invention the UHSFsystem providing optionally rule based platform and plurality of meansfor federation, aggregation, integration, collaboration, composition,comparison, coordination, workflow handling, orchestration andchoreographing of plurality of services, facilitating means forpecuniary transactions, products and services subscription, searching &matching operations, communication, information and knowledge managementoperations by HSN controller and plurality of distributed channel nodeswherein said central unique HSN controller facilitating ranked knowledgeinvocation and one or more knowledge support services from identifiedand unidentified human experts and data sources.

For example a manufacturing company involved in the process of newproduct development and desirous of conducting a worldwide said productmarket analysis. Generally the said task is assigned to the specificmarket analyst firm in a specified territory, wherein the Markey analystcarries out the research and submits the report to the manufacturingcompany. A manufacturing company receiving the reports from plurality ofsuch analyst from various part of the world, wherein the saidmanufacturer aggregating the said report details for testing the data onvarious grounds, seeking further explanations from various earlierengaged analysts, discussing the said details with the management bodiesand engineering staffs and thereby arriving at any particular decision.In the recent development in the information technologicalimplementation, the said task is eased by means of enhancedcommunication and data storage technologies. However integration of eachof them seems difficult and also considering the variety of peopleinvolved in the communication process uniformity of application ishighly desirous for quick and integrated working of each of thefunctions associated therewith practically any task accomplishment. TheUHSF system providing simplification and integration of each aspect ofthe various tasks accomplishment, wherein considering the saidmanufacturer planning the said product launch creating project named“ABC product launch” in the project explorer thereof and furthercreating various associated subprojects thereunder the said projecttitle including Market research data gathering, surveying, analysis,human resource management, recruitments, legal analysis, marketingpartners, advertising, manufacturing alliances, competitors watch, etc.creating further subdivision of each of subproject into desirous no ofheads. The product launch project implementation herein assuming thateach of users of the said project having UHSF system browsers installedand are provided with full feature communication abilities, wherein thesaid manufacturer receiving the reports regarding any development in anytask in any part of the said subdivided project titles and same is beingreplicated in all of the either privileged or selectively selectedworkspaces of associated member of the project. The said manufacturerand the associated members therein the said project downloading therequired software application and utilities for project enablement. Thesaid manufacturer monitoring the said project of “ABC product launch” inthe workspace thereof, wherein controlling, directing and communicatingwith each of project associate towards a assigned task accomplishment,furthermore scheduling each of task to be accomplished in the saidproject explorer within its workspace. The said project providing forthe aggregation of the data in a single database and multiple tools forthe analysis of the same. The additional applications and utilitiesrequired are searchable and downloadable from developers.

In an another aspect of the present invention the said UHSF systemframework facilitating selling, purchasing and sharing of informationand human knowledge by providing subscription to each of channel nodefor plurality of products and services including Human Operating System(HOS) by connecting to the central web server and to the plurality ofproducts and services form multiple channel nodes to the other multiplechannel nodes in a distributed peer to peer environment. The softwaredevelopment part exploiting web services SDK and multiple programmingAPIs alongwith the multiple third party programming tools for realizingpeer to peer and centralized web server framework.

In an another aspect of the present invention each of multiple ofsubscribers sharing information and knowledge with other Subscriberswithin one or more personal workgroups and providing one or moresubscriber support services (SSS) wherein each of GIN being enabled withsearching one or more known and unknown subscribers (HSNS) via searchengine and autoworking thereof intermittently providing outmatched oneor more subscribers of like subject interest to each of CHN so as tofacilitate each of CHN to identify and form relevant one or moreinformation and knowledge sharing groups, and prospective consumers ofservices thereof and each of Human Agents to learn prospectiveinformation and knowledge seekers. In addition to this theidentification of peers of like interest further boost the prospects ofimproved social networking, collaboration and sharing of information andknowledge. The system is reflective enough and operating in a real timereplication and synchronization module wherein plurality of means areemployed to update subscribers profile in the UHSF network, includingintermittent survey conduction, auto sensing of subscribers needs andinterest. For example: A said art enthusiast interested in subject ofsculpture, recently developed for paintings, which he either expressesin the network or conducts search for the same, wherein system having INand OUT sensors depicting the user's interests over the network oralternatively the said art enthusiast downloading and submitting thesurvey form so as update profile thereof, making him searchable with theupdated attributes facilitating high relevancy social networking andonline business operations.

Survey system forming significant part of the searching system, whereinthe user's behaviors, wants, needs and multiple attributes in the saidnetwork and domain specific search preferences are recorded, forcustomized and highly relevant and real time searching.

For example, ‘Henry’ a software professional is about to migrate fromone part of the country to the others, downloading taxonomicallycategorized survey forms and filling the said survey form depicting hisrequirement and needs for the said migration including, packers andmovers, real estate support, transportation, passport and visaassistance, and so many others things. Thus updating his profile in thenetwork and is searchable with respect to his new updated attributes oreven can provide for suggestion, guidance to other users in his socialnetwork upon experiencing the said particulars, like if John is about tomigrate from the same place to the same destination as that of Henry,would be searching the profile history of Henry and establishing activecommunication through various means for invoking knowledge from Henry.

The centralize functioning of HSN Controller includes facilitating Humanoperating System (HOS) products and governing authority foradministering, monitoring and controlling of registrations,certifications of the requesting distributed channel nodes andcentralize and distributed searching and matching authority whereinmaintaining brief profile details of each of channel nodes,transactional inventory maintenance, event log records, accounting andmetering of use of the UHSF resources. In addition to this HSNcontroller further maintaining taxonomically categorized lookupdirectories for each of channel node and the allocation of taxonomicalknowledge domain to the each of supernode.

In an another significantly important embodiment of the presentinvention multiple distributed “Super Nodes” (SN) are configured whereinas in the UHSF system connected and nodes are taxonomically classifiedand ontologically described through a set of customizable ontology. TheUHSF system being configured to work in the distributed mode, theprovision of central server model for communication is discarded,wherein the communication, network mapping and searching has beenprovisioned through configuration of qualified supernodes (SNs). Asstated above the HSN controller maintaining the taxonomicallycategorized supernode directory representing knowledge domain forhandling each of search query. The supernode identification andconfiguration module working in a centralize fashion via multiple AIagents.

In the further aspect of the present invention each of supernode havingdata storage means for maintaining the extended and exhaustive profilesof each of subscribers in the UHSF system network, wherein the saidstoring means further updating the profiles in accordance with thesurvey details being routed to the said supernode alongwith real timeHSNS preferences, resource offerings and HSNS and referrer URL. Inaddition to this the “Auto Sense Logic” executed via various AI agentsrouting and storing the record of real time content searching CHN'smetadata during OUT permission by HSNS and advertiser CNN's and matchedHSNS metadata during IN permission by each of HSNS. The identificationto real time configuration of each of supernode amounts to theconfiguration of various supernodes, wherein the said configuration is acontinuous process, for facilitating real time and high relevancesearching experience.

In an another significant aspect of the present invention HSN controllercentrally storing plurality of public repositories including:

1. HSN contents and repositories

2. HSND directory

3. HSNHA directory

4. HSNHC directory

5. HSNFS directory

6. HSNB directory

7. HSNSP directory

8. HSNS directory

9. HSNAI-HSNAIS directory

10. Supernode directory

11. HSNS-SSS offering inventory

12. HSNHA-KSS offering inventory

13. Rules repository

14. Ontology and taxonomy repository

15. MD structures repository

16. Web services directory

17. Resources offering inventory

18. Survey repository

catering to plurality of channel nodes and replicating and synchronizingvia and through active human mediation at each level of storage andmodification of contents thereof in essentially a centralize manner.

In an another significant aspect of the present invention HSN controllercentrally storing plurality of private repositories including:

1. Channel node registration databases

2. Payment and transaction databases

3. Product and package key database

4. Accounting and metering databases

5. Report and analysis

6. Ontology and taxonomy directory

7. Survey result repository

8. Advertisement database

9. Hit, rank and plurality of statistics databases

which are necessarily secured HSN controller's system resources beingupdated and modified by HSN controller only facilitating HSN controllerUHSF wide administration and management.

In an another aspect of the present invention the knowledge projectmanagement includes workspace management, role active explorermanagement, reports and analysis, HSNFS and HC management, projects andtopic collaboration management facilitating each of channel node tomanage one or more information contents and knowledge invocationprojects within the UHSF system.

In an another aspect of the present invention the UHSF framework beingdistributed exploits all existing PSTN and communication network,alongwith wireless communication in the smart digital devises. The HSNcontroller server arrangement centrally managing the UHSF systeminventory by distributedly locating and centrally indexing andmonitoring identified Human experts, intermediately acting brokers,providers, supernodes and information resources source pointers withinthe functionally segregated organizational structure of a community ofplurality of channel nodes of a computer network. The said serverregistering the one or more users in the database, wherein one or moreHuman Operating System (HOS) software products thereof facilitatinginitiation and completion of transactions between preidentified channelnodes for successful entering the registration record therein thedatabase. The HOS comprising of various communication and interactionmeans including HSNM, HSNE, HSNEM, and HSNOP and various tools,applications, attached utilities and AI agents.

The said registered users further acting as role active channel nodes inthe UHSF system, wherein the said HSN Controller server maintaining theinventory and one or more database servers repositing plurality of UHSFwide contents and utilities catering to plurality of channel nodes.

wherein the said server creating a primary transaction record inresponse to a first registration request in the database thereof viainformation inputted by each of the unregistered user, the primarytransaction record includes at least one field representing an identityof a said unregistered user and a field representing a role of the saidunregistered user in the primary transaction;wherein after completion of said first registration HSN controllergenerating a channel identity for such registered channel node furtherauthenticating access via award of product key, package key and logindata attached therewith;wherein the server registers the unregistered user with the HSNcontroller and activating channel node thereof, and further recordingthe associative one or more secondary transaction status of each ofchannel nodes with said HSN controller and the other channel nodeswithin the UHSF system.For example: In the scenario of knowledge seeking by the group of 5students belonging to hospitality, travel, and tourism facultyregistering with the HSN controller as a subscriber active nodesobtaining the product key for any one or more HOS products as perrequirement of each of students and package key as per extent of UHSFsystem utilization from the HSN controller. A 5 star South Africanhotelier H having past 20 years experience as Chief chef and manager inthe hotel and tourism industry, registering with HSN controller as aHuman Agent active channel node and a traveling enthusiast T registeringwith HSN controller as a subscriber active node and a softwaredevelopment solution provider D registering with the HSN controller as adeveloper active node, is in the travel and tourism software relatedbusiness for past 10 years has submitted proposal with HSN controllerfor development software providing world maps, tourist destinationnavigation and searching tools, transportation calculator, budgetcalculator as the utilities.

In such a scenario 5 students searching for expert human agent to postquery to, come across H, wherein each of students posting queries of owninterest and receiving the answer thereof for some considerationprefixed via package key. H is in need of more advance software to easehis consultation task, searching for software developer in the specifictaxonomy, come across D, posting request for some of the products and Dselling the said products for certain prefixed consideration. Atraveling enthusiast T planning for trip to South Africa, searching forexpert tourism consultant for traveling and also for few software toolsto facilitate his travel plan. Come across H and D and subscribingservices and products respectively therefrom by means of predeterminedconsideration for package and product keys respectively. The 5 studentsforming a social networking group discussing and sharing each othersexperiences. The H searching for other human agents for collaboration inmultiple countries and so on and so forth each of joining channel nodesearching and managing the operations in the UHSF system prettyobjectively.

In the one embodiment of the present invention searching and matchingsystem comprising of plurality of computing and human components whereineach of component supplementing the inputs to the other through aninteractive query manager. The searching is systematized throughassignment of subject tag to each of component therein the systemwhereby identifying plurality of taxonomically precategorized, certifiedand identified channel nodes and resources and respectively associatedmetadata, keywords, system data, ontology, and attached resourcestherewith. In addition to this HSN controller devising a universaldistributed knowledge and information database (UKID) structures formanagement of the knowledge sharing in the said taxonomical categoriesand further systematical relational information management thereof. Eachof UHSF system user i.e. various channel nodes using the part of thesaid UKID structures for own use and downloading the required UKIDstructures, the said personalized structures transforming into localdistributed knowledge and information databases (LKID);

wherein one or more distributedly located CHNs either independently orcollaboratively selecting for only Human mediated, only via machine orwith combination of both searching modality, specifying one or morepenta tier depth refinement selection;one or more CHNs searching for preidentified and unidentified CHNs viaone or more searching means including basic searching, command basedsearching, search wizard and advance search, generating one or moresearch templates;for searching and selecting one or more role specific precategorised andpreidentified CHNs and resources thereof in the centrally storeddirectories thereof and establishing direct connection therewith,for searching one or more unidentified subscriber channel nodes andresources thereof based on likings, interests and specific matchingcriterions thereof recorded in the centrally stored partial profile,plurality of extended profiles and SN's real time relevance based HSNSkeyword indexes DB, routing and mapping profiles thereof stored at theone or more supernodes, wherein the searching channel node alongwithquery term, preselecting one or more penta tier depth refinementspecifier, indicating extent of search refinement upto relevant 1.supernodes, 2. HSNS, 3. sources, 4. abstracts and 5. contents searchingdepth;wherein the said search query terms are matched with taxonomicallycategorized supernodes via HSN controller central search and matchengine and routing and replicating relevant matched SNs result to eachof querying channel node towards 1^(st) tier refinement depth selection;one or more routing agent routing query term to 1^(st) online availablematched supernode wherein said SN matching query term with plurality ofHSNS extended shared profiles, indexed keywords, black box indexes, LKIDresources in peer to peer environment by multiple taxonomy matchinglogic based on the profiles of plurality of HSNS being updated andclusterwise posted in the taxonomically classified profile database ofone or more supernodes which are being selected on predefined logicstored therein the database thereof and muting & replicating relevantmatched HSNSs result to each of querying channel node towards 2^(nd)tier refinement depth selection;one or more matched and filtered HSNS receiving request for contentsource pointers or advertisement either from querying CHN or to each ofmatched HSNS directly from matched SN and each of requested HSNS routing& replicating relevant matched source pointers result to each ofquerying channel node or advertisement subscription request torespective advertisers thereof towards 3^(rd) tier refinement depthselection wherein each of HSNS preselectively enabling or disablingrespective BBS and LKID search thereof;one or more HSNS of 2^(nd) tier refinement depth result after routingsource pointers, receiving abstract request from querying CHN and inresponse to that routing & replicating automatically or manually one ormore abstract of one or more source pointers to each of querying CHNtowards 4^(th) tier refinement depth selection;each of querying CHN filtering abstracts for determining and sendingfinal selection request to one or more HSNS of 2^(nd) tier refinementdepth result and one or more HSNS responding and sending full contentsvia associated one or more publications or resources towards 5^(th) tierrefinement depth selection;wherein one or more KSS or SSS providers and searching SNet thereoffacilitating searching services of any one or more tier refinement depthand the pair of each of HSNS subscribing to advertised contents andsearcher thereof alongwith metadata thereof are being routed to HSNcontroller's prospective customer Database facilitating suggestiveecommerce therein the UHSF system.

In an another aspect of the present invention search wizard provides fora guided searching utility being provided to each of CHN, prompting thecontinuous one or more search preferences and criterions selectioninterfaces guiding users thereof to precise and relevant search resultsvia providing for the selection options for normal and advance searchprompting a continuous series of screens for search refinement andrequired selection of one or more search preferences and criterionsproviding users thereof highly refined and relevant search results.

In an another aspect of the present invention each of CHN initializingthe host system wherein undertaking Presearch preparations includingdownloading of one or more taxonomies from HSN controller's centralizetaxonomy directory

In an another aspect of the searching system the relevancy has beenaddressed through the implementation of universal desktop search systemwherein a black box search logic working at the host computerfacilitating a customized desktop (computer) resources and activitiesindexing and a publication module providing for scheduled or manualpublication of the said indexes on to the SN, making them searchablepublicly or privately. In an alternative to this a host computer of theuser enabled for deeper search strategy implementation wherein a blackbox indexes are itself made searchable by the said host user wherein thesearchers sending a search keyword or command or advertisement at thehost computer and are entertained at the reception module of a black boxfor restrictions if any and providing for IN permission selection optionand the search and match engine providing for search results for thesaid keyword alongwith the OUT permission for providing the said searchresults and resources thereof to the searcher, wherein the searcherselectively accepting or denying the said OUT operation of the searchresults.

A typical black box searching system module comprising of resource indexmanagement unit for indexing files, images, docs, video, databases,favorites, registry, cookie, folders, emails, attachments, programs,contacts, machine configuration & all other info, which are further autoindexed, filtered, and categorized from local machine or network orserver via multiple algorithms or methods or systems and publishing INand OUT full or partial index to the multiple matched SN, the incomingkeyword is searched and matched by means black box search and matchengine wherein the indexed resources provided by resource indexmanagement unit and based on the search and match results transmittingmultiple permissions generation signals to the permission and selectionmanagement unit. If the query containing linking and routing requestalongwith depth thereof for extended matching the host user forwardingthe said incoming query via linking and routing management unit to themultiple users' BBS systems. In a typical searching system and methodstated above, each of component involved in the process of informationand knowledge invocation are necessarily in the searching facilitationengagement wherein CHN sending search query at matched SNs and each ofSNs sending the matched HSNS and resources thereof wherein the saidmatched SNs are obtained by sending SN matching query at the HSNcontroller.

All peer's all contents are indexed via BBS, partially or full index ispublished to one or more SN, searchers sending one or more keywords orquery to SN, or alternatively browsing and scanning the SN directory androute the query to one or more matched resource destination, wherein theBBS creating list of matched contents and resources, BBS user selectsone or more IN or OUT contents and resources with permissions, user canuniversally search desktops and share the resources with permissionthrough secured channel.

For example: user A send one or more keywords or query to one or morematched SN automatically of manually via browsing and scanning orexploiting expert KSS support, SN routing query automatically or routemanually to particular one or more BBS for searching and matchingresources presenting users machine or network, all matched BBS matchesthe resources with keyword and create list of matched resources forpermission, users get all matched selective resources with permission orestablish communication.

Similarly a advertiser B looking for matched prospectively interestedusers in his product, intended to send an advertise as a part of hisadvertisement campaign either manually, or automatically by schedulingvia SN, or via exploiting the HA's KSS services, wherein sending keywordrelated to advertise to any of the means, the said means matching thesaid keyword with the BBS of multiple users and the matched users arerouted to the advertiser B, wherein the advertiser either manually orthrough any of the means sending the advertisement to the such matchedusers wherein the matched user either accepting or denying IN permissiongenerated therewith.

In one of the significant embodiment of the present invention a system,method, and a constitutional infrastructure is devised to constituteknowledge storing, searching, sharing and management mechanism viaUniversal Human Service Framework (UHSF) forming system for Human griddevelopment connecting brains to equally like brains for knowledgesharing in the plurality of modes i.e. real time, online, and offline.

In the further aspect of the present invention taxonomy categorizedknowledge domains and semantic-ontology assigned thereto facilitatinghighly relevant search and match features alongwith enhanced level ofprecision in the process of knowledge invocation. Each of channel nodessearching knowledge in the desired level of granularity defined viapenta tier search depth selection which provides for multiple filtersand openers and multiple combination thereof whereby determining thesearch criterion to limit search to any selected tier of search system.The location and language specifier further narrowing or broadening thesearch query dimensions.

In an another aspect of the present invention the UHSF system employsXML schema datatypes and uses topic maps for more sophisticated scopedrelationships with clarity on use and mention of the concepts, withformal processing model for manipulating them and can be related to RDFand validate literal contents having XML serialization of ontology. Eachof XML elements is given a unique ID-attribute. Using this ID, any nodein the semantic tree can refer to any other node. As a result, arbitrarygraphs can be encoded in this manner keeping the basic data-modelintact. The UHSF system provides for XML tagging for multiple purposesfacilitating serialization syntax for other markup languages. All datasets, metadata sets and resources are further represented via RDF havingthe basic construction of an object-attribute-value triple wherein anobject O has an attribute A with value V wherein the said triplecorresponding relation is represented via A(O,V) defining a nestedobject-attribute-value structure.

In an another significant embodiment of the present invention each ofthe search results browsing events and actions carried out by one ormore subscriber, service provider and human agent is recorded in thesearch macro which forms a ready made knowledge packages for instantaccess under any particular taxonomy category defined in terms of akeyword in specific context therewith. There may be multiple macros inthe particular taxonomically identified knowledge domain specific searchmacros wherein each of subscribers, service providers and human agentsoptimizing the information and knowledge invocation function with theuse of said macros substantially saving time and efforts thereofalongwith providing highly relevant information and knowledge contentsreferrally validated in the closest context in the said knowledgedomain, further facilitating a ready to use medium for utilizingexperience and efforts taken by configuring CHN thereof in theinformation and knowledge invocation medium, capturing the actions,events and behavior to decipher relative high relevancy of the intendedkeyword and packaging the said experience and efforts in the said macroswherein one or more human agent experts developing multiple macros forthe one or more keyword in context of a particular taxonomical categoryrepresenting a specific knowledge domain optimizing information andknowledge seeking experience.

In the further aspect of the search macro management system and methodeach of subscribers, human agents and service providers configuring thesaid macros by means of macro management explorer having plurality oftools to devise macro configuration projects in the broader taxonomicalcategory and multiple sub groups thereof having multiple keywords foreach macro.

In the further aspect of the search macro management system and methodeach of macro configuring CHN having recording unit for macroconfiguration depicting and recording the each prespecified events andbehavioral aspects determining relevancy thereby.

In the further aspect of the search macro management system and methodthe said behavioral aspect comprising of no of hits generated, no oftimes said keyword occurring in the said text, audio or video and amountof time the said media is under use.

In the further aspect of the search macro management system and methodeach of the macros refurbishing through the life cycle of the eachkeyword appending updates, modifications, and event recording therewithby the configuring CHN thereof providing retrospective recordings of theeach of the keyword in a particular knowledge domain forming sequentialor chronological events and knowledge maps within the said knowledgedomain associated in the context with the said keyword.

In the further aspect of the search macro management system and methodone or more macro configuring CHNs recording the one or more macros viataxonomically defined project management formulating plurality ofsubgroups therein the said project having one or more keywords toconfigure macros for, recording the said macros alone or in thecollaborative engagement with the other search macro configuring CHNs,or via one or more KSS and SSS offering human agents and subscribersrespectively and attaching metadata therewith including date, author,url, description, associated taxonomy, price and payment type, assigningsecurity features including user ID, Password and certificate therewith,testing, registering with the HSN server.

The deployment site of such configured macros is CHN subjective whereineach of configuring CHN deploying the search macros at respectiveservers for use by plurality of subscriber, human agents and serviceproviders. Each of search macro configuring subscriber deploying thesaid macros at the related one or more knowledge domain specificsupernodes and human agents and service providers deploying theconfigured search macros at the personal computing machine.

Each of macro searching CHN searching and downloading the said searchmacro and playing on the personal digital medium whereby optimizinginstant information and knowledge gaining experience and saving time,money and energy employed therefor.

In the further aspect of the search macro management system and methodeach of subscribers, service providers and human agents searching one ormore search macros based on the rank, date and taxonomical context orscheduling the download and use thereof utilizing unutilized human gridconnected in the networked environment of digital communication, furthercustomizing and deploying one or more macros for CHN use or sharing withthe other macro configuring and utilizing CHNs saving collaborativehuman search effort.

In the further aspect of the search macro management system and methodeach of macro is meant to be record and played on the local desktop orwithin the network, peer to peer, enterprise wide intranet or internetwide for packaging searching, browsing experiences recorded viasubscribers, service providers and expert human agents wherein the saidmacros recording plurality of events a user carrying oat in the saidmedium comprising of contents or sources searching from one or moresources, window closing events, content and image scanning, contentcopying, repeated search frequency, links searching, repeated linkssearching, web pages saving, downloading, printing, emailing, links bookmarking, navigation, web pages browsing, analysis, and time spent on theparticular page.

E.g. Though there are wide range of usability of search macros, it hasstrongest feature to make current search engine obsolete, as predefinedtaxonomical knowledge domain at the first instance narrowing down thesearch and preconfigured macros would provide for instant knowledgepackage for the said user, hence saving on time, money and energy and asmacros are configured for all best in the said knowledge domain nothingis left out of the search. Considering a school having teachers andpupils related with each other in a fixed identified taxonomicalknowledge domain, now if a ‘Physics’ searching in the web media for“laws of motion”, the teacher would be searching through plurality ofpages to collect knowledge, if the actions and event during thiscomplete knowledge gaining exercise is recorded and made available tothe pupil as ready to use taxonomically categorized search macro. Thepupil can learn all things their master have searched and gone through,imparting effective knowledge in a quick time, saving money and energy.

In a one embodiment of the present invention the system uses specializedstorage system formatted and relationally connected universally viaserialization of taxonomical knowledge domains defined under UniversalKnowledge and Information Data structures (UKID) in the database thereofeach of channel nodes in the UHSF system wherein the said databases usesfile system and next generation winFS storage subsystem, and databasesystem including open source databases and commercial databasesincluding MS SQL, MSD, ORACLE, etc.

The present invention provisioned for information and knowledge toanybody, anywhere and at anytime for any thing. For example the systemfacilitates any information, knowledge, experience, guidance,consultancy or any recourses to any channel node in relation to its useconditions and non violation of service protocols to communicate via anyutilities including HSN IM, HSN Email, Phone, Fax, Collaborative tools,File sharing tools, E-Mail etc.

In the system of the present invention identifies in advance each ofregistered individual, network, group, or organization for specificrole, wherein users preferably termed as “subscriber” is provided withmultiple services and products via such registered preidentifiedindividual, network, group, or organization preferably known as channelnodes the channel nodes includes human agents (HSNHA), service providers(HSNSP), developers (HSND), and brokers (HSNB). Each channel node beingidentified with respect to its role. Each of channel nodes andsubscribers (HSNS) are functioning in a distributed environment. Howeverfor creating identity and ensuring security of operations each ofchannel nodes are made to register at the Human service net controllerserver, and are need to subscribe for one or more communicationutilities therefrom. Each of registered channel node and subscribersdownloading role active HOS application for management of informationand communication with the other channel nodes and subscribers.

The HSN being configured for the central control of the said humanservice network have been supplemented with plurality of developers HSNDwhich are developing plurality of subject specific AI agents,communication utilities, add-ons and applications wherein the serviceprovider offering subject specific information and knowledge servicesvia plurality of sources and web services, wherein the said AI agent(HSNAIA) functioning preferably in the background without humanintervention are means for systematic information tracking throughinformation repositories and related sources.

The human agent (HSNHA) is a means for very specific field of knowledgeand information as derived and represented via ontology and taxonomiesthereof is a person expert in the filed offering his/her information orknowledge services maintaining the dual mode presence within the saidHSN framework, providing matched resources from multi sourcesincluding 1) HumanServiceNet, 2) Info Service Providers, 3) AI Agents,4) Human Agents wherein the said human agents forming a human circlecomprising expert human agents in related field possessing Informationand knowledge related with queries via (Paid or sponsored) or Public(free) subscription and 5) Human Agents local or remote Networksoffering ready information related to query and adjunctively formingfederated human circle to provide collaboratively various humanservices.

The plurality of human agents and their quality has been quantified,graded, and ranked by means of HumanServiceNet Broker (HSNB) and aremeans for brokering of human agents services to the intendedHumanServiceNet Subscriber (HSNS) wherein the said subscriber obtainingmatched resources from multi sources including 1) HumanServiceNet, 2)Info Service Providers, 3) AI Agents, 4) Human Agents 5) Subscribers'local Network, and 6) Personal Network of Subscribers offeringInformation related with query via (Paid or sponsored) or Public (free)subscription.

The HSN so configured has predefined communication links wherein thehuman agent subscribing to human circle to become part of it. Whereinthe multi search and match algorithm helps exploring the services andhuman agents thereof in relation to intended search and query. Thesearch and exploration path followed therein in relation to any specificsearch or query varies having multiple sources offering the mostrelevant information and same being traversed in the present constitutedinfrastructure of Human Service Network framework.

In an another aspect of the present invention the Universal HumanService Framework (UHSF) is providing for new interactive communicationsystem preferably HumanServiceNet Messenger (HSNM) & HumanServiceNetExplorer (HSNE) to take advantage of humans' (human grid) capability interms of semantic-ontology & taxonomy categories human services(physical i.e. works, actions etc. & logical i.e. knowledge, experience,info sharing and transactions etc.) communicate securely with unknownhuman user or human circle or federated human circles for informationrelated to particular field or subject or query or share knowledgeuniversally and search & share human minds logically like search & shareinformation via internet (Human to Human communication & sharing)

In addition to this the workflow management is operable in an offlinemode, wherein replication and synchronization of all updated entries iscarried out via multiple AI agents.

In the one embodiment of the present invention the said UHSF systemfacilitating the Universal social networking by means of exploiting theplurality of searching means, repository, interactive communicationtools, scheduling technique and customization and personalization of thesystem. In addition to this the added searching and matchingintelligence alongwith the intelligence generated out of taxonomicallycategorizing and attaching various set of user defined ontology to thesaid taxonomical category, further making it more personalize to theextent of understanding the subject matter and easing the searching inthe personal network of the set of users which lead to facilitation ofsocial network.

The relationship aspect of the social network is further managed in thesaid system by means of workspace provided therein whereby each of userin the system managing the various relations including personal,business, and project related, consultancy related but not limitedthereto via various workspace management features. The said workspaceproviding for personalization and customization of the said each ofrelation wherein users can add, delete, modify the each of relationdefined in the said workspace.

In an another aspect of the present invention the UHSF system forming ahuman mediated knowledge dissemination system wherein the saiddisseminated knowledge is stored possessed continuously at plurality ofchannel nodes making it value added, customized, personalized, reusable,repetitive and redistributable to other channel nodes in the UHSF systemand third parties.

In an another significant embodiment of the present invention theemailing system providing for unknown communication wherein each of usermailing the contents alongwith it describing the metadata andtaxonomical category of the said mail in terms of OUT preferences. Thesaid mail can be published at the multiple taxonomical categories as perthe mailer OUT preferences also can be published universally or in thedetermined personal networks. Similarly each of channel node in the UHSFsystem predefining the IN preferences so as to filter or fix thetaxonomy categories of the mail to be received in the inbox thereof. Atypical HSNMail (HSNM) service works in a following manner which ispresented as example only and does not limit the scope of its working

-   1. “A” the subscriber mailing “I want to sale laptop” in universally    and assigning it in the taxonomy computers, and assigning keywords,    laptop, computer, notepad, etc.-   2. Entry of mailing is stored in the sent items of the said    subscriber.-   3. Each one of other channel nodes having defined computer taxonomy    as IN preferences receiving in the said mail thus said mail of the    subscriber is communicated to unknown. Or-   4. Alternatively each of channel nodes searching for mail in the    computer taxonomy will be finding the said mail in the said    taxonomy, also the keywords and metadata defined by the said    subscriber making the mail searchable.

In an another significant aspect of the present invention the UHSFsystem providing for the platform for opening up new business or revenuemodel and interactive and searchable platform for sale of any knowledgeuseful to any body via plurality of means for consideration wherein theknowledge currency is a barter means for exchanging Knowledge forKnowledge and the extent of sharing is left at the user perusal.

An advertisement management system for storage, retrieval, routing,linking, and dissemination of plurality of advertisements andaccomplishing associated pecuniary transaction effected thereby,functioning in tandom with the plurality of searching, matching andecommerce activities within the UHSF system, facilitating posting ofplurality advertisements by the plurality of advertisers comprising ofplurality of components including:

1. A HSN controller's advertisement management system

2. HSN online portal facilitating multi vendor shopping cart

3. Plurality of advertiser management systems

4. A advertisement routing system

5. Advertisement viewing system

6. HSN customer preference DB

7. HSN Prospective customer DB

8. HSN historical prospective customer DB

9. BEN advertisement and tracking DB

10. One or more sponsored service providers

11. Match making and business logic engine

12. one or more searching Channel Nodes and

13. one or more HSNS

wherein each of intended advertiser downloading advertisement wizard andmanagement system and registering with HSN controller and requestingpackage key therefrom for posting one or more advertisements campaignsat HSN advertisement and tracking database and/or at HSNOP by means ofHSN advertise wizard and management system;wherein the HSN controller creating and managing plurality of theadvertises in the advertisements and tracking database, prospectivecustomer and customer preferences databases so as to facilitateadvertisement and prospective customer match making,wherein selecting relevant advertisement from the HSN advertisement andtracking database and matched customers therewith from the prospectivecustomer and customer preferences database by means of a match makinglogic engine;and applying business logic to the each of associated channel nodes,subscribers and advertisers for fees and commission receipts orpayments;and facilitating the advertise viewing to each of such matched adviewerenabling eCommerce operations thereby via multi vendor shopping cart atHSNOP.In an another aspect the said associated channel nodes for saidadvertisement are being determined via at least one correspondencerelationship of each of CHN including:

-   a. CHNs posting, routing, hitting or linking the said advertise-   b. CHNs referring the said prospective customers stored in the URL    attached therewith the said advertise-   c. CHNs offering sponsored services for the said advertise and-   d. Prospective customers of the said advertise.    wherein each of correspondingly related CHNs are provided with    commissions on performing predetermined activities stipulated    therewith by HSN advertisement management system.    HSN Ad management system in the first place receiving the payments    for each advertisement posting and later for commissions effected    thereby in the further process of routing, linking and viewing of    each of the said advertise campaign wherein the receipt of payments    from and delivery of commissions to each of correspondingly related    CHN is carried out thereby.

For example New York Travel co. are appointed as travel agent for NYtravel, were planning for worldwide advertise campaign specific focusedon the important cities of the world, devised N no of advertise each fordifferent city. The said travel company being advertiser requestingpackage key for ad campaign from the HSN Controller, create and post advia as management system, set daily budget and bid percentage, andpreference like languages, locations and other preferences, get KSSsupport for best target customer ad routing, via browsing and scanningSN directory, some travel services and products can purchase or book orsubscribe online via HSNOP, regular analysis and monitoring of adcampaign results, change ad campaign as per ad responses from therespective city, check hits, collections, CTR, etc, HSN prospectivecustomers database and prospective customer database suggest customerand routing adverting to the said customers in their ad viewers via adsweb services, advertising comes with answers, publications, searchresults and presents or view in HSNOP, HSNEM, HSNWS and SSP and adapplications upon selecting the acceptance permission alerts positively,wherein commission goes to respective referrer or supporter. In analternative the said advertiser searching for the prospective customerin the HSN prospective customer and prospective customer preference DBand sending advertise thereto.

In an another aspect of the present invention each of channel node areproactive entities in the network acting on their own accord and are notrestricted to system doing something for them. The greatest limitationof the present internet communication is users are only can browse thesystem resources and not the user actually can participate and dosomething into the said system. In the UHSF system subscribers areoffering subscriber support services to peers performing plurality oftask as determined to be performed under support function easing theoperation of other channel node against some consideration may be paid,free sponsored or barter exchange. The said services are known assubscriber support services (SSS).

For example N no of subscribers registering their SSS to HSN so otherusers can search and use their services. E.g., user Y havingpreidentified social network searching for one or more SSS for one ormore task accomplished as offered by the said SSS wherein the said userY selectively outsourcing the task either to private SSS in his ownsocial network and to the public SSS not known to him and bookmark oruse direct online available users, user can use SSS for collaborativesearching and sharing for particular one or more keyword, establishcommunication for resolving queries and get answers, inviting for one ormore social network and offer other services like, filtering,categorizing, scanning, analysis, mapping, routing, formatting and othersupporting services.

Similarly the knowledge function is significantly important aspect ofpresent knowledge invocation system wherein each of human agentperforming multiple knowledge support services for plurality of channelnodes, the KSS are generally containing lesser knowledge function,though demanding the systematic approach to the knowledge job.

For example A said manufacturing company having plurality of operationsto be conducted simultaneously, wherein engaging various agencies toperform multiple functions. The data collection and organizing the samefor ready to use form the said manufacturing company further searchingfor related human agents offering related KSS services foraccomplishment of one or more miscellaneous tasks and negotiating andassigning the said task to such identified KSS service providers thereinthe product launching process thereof, and monitoring and communicatingwith the said KSS providers in the workspaces thereof.

BRIEF DESCRIPTION OF THE DRAWINGS

Further aspects of the present invention will become apparent from thefollowing description which is given by way of example only and withreference to the accompanying drawings in which:

For illustrative purposes, some embodiment of the UHSF system softwarecomponent are described below in which each of specific UHSF embodimentsare providing various types of capabilities and functionalities withrespect to various types of actions, operations and time of use, usingvarious specific types of user interfaces and other communication andinteractions including searching of various databases via saidinterfaces and various tools embedded exclusively and separatelyproviding those claimed functionalities and capabilities. However thoseskilled in the art will appreciate that the techniques taught in thisinvention can be used in a variety of other situations, includingservices, tools and methods in part or in full in the connected digitalmedia, internet and peer to peer distributed environment, and that theinvention is not limited to the exemplary details provided.

FIG. 1 shows a schematic block diagram of a preferred embodiment ofUniversal Human Service Framework (UHSF) illustrating structuralconnection of each operational channel nodes with the HSN controlleralongwith the relationship aspects thereof.

FIG. 2 shows a schematic block diagram of a preferred embodiment ofUniversal Human Service Framework (UHSF) illustrating structuralconnection of developer nodes in the peer to peer environment alongwiththe relationship aspects thereof with the other channel nodes and HSNcontroller.

FIG. 3 shows a schematic block diagram of a preferred embodiment ofHumanServiceNet Service Provider (HSNSP) illustrating each relationalcommunication modality with other channel nodes therein the UHSF systemalongwith possible tools and methodology for service offering thereof.

FIG. 4 shows a schematic block diagram of a preferred embodiment ofHumanServiceNet Human Agent (HSNHA) illustrating each relationalcommunication modality with other channel nodes therein the UHSF systemalongwith possible tools and methodology for service offering thereof.

FIG. 5 shows a schematic block diagram of a preferred embodiment ofHumanServiceNet Broker (HSNB) illustrating relational engagement andcommunication modality thereof with multiple subscriber and multipleHuman Agent nodes therein the UHSF system.

FIG. 6 shows a schematic block diagram of a preferred embodiment ofHumanServiceNet subscriber (HSNS) illustrating each relationalcommunication modality with other channel nodes therein the UHSF systemalongwith possible tools and methodology for service offering.

FIG. 7 shows a logical block diagram of HumanServiceNet Frameworkillustrating each of the relational engagement of each of the channelnode alongwith communication and service or product offeringinter-engagements thereof in the inter-channel and intra-channel mode ofoperandi.

FIG. 8 shows a logical connection diagram of HumanServiceNet (HSN)active HumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of control andmanagement information and multiple tools employed therefor.

FIG. 9 shows a logical connection diagram of extended view of FIG. 8.

FIG. 10 shows a logical connection diagram of extended view of FIG. 8.

FIG. 11 shows a logical connection diagram of Developer (HSND) activeHumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of managementinformation and multiple tools employed therefor.

FIG. 12 shows a logical connection diagram of Service Provider (HSNSP)active HumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of control andmanagement information and multiple tools employed therefor.

FIG. 13 shows a logical connection diagram of Human Agent (HSNHA) activeHumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of control andmanagement information and multiple tools employed therefor.

FIG. 14 shows a logical connection diagram of Subscriber (HSNS) activeHumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of control andmanagement information and multiple tools employed therefor.

FIG. 15 shows a logical connection diagram of Broker (HSNB) activeHumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of control andmanagement information and multiple tools employed therefor.

FIG. 16 shows a logical connection line diagram of UniversalHumanServiceNet Framework (UHSF) illustrating all possible combinationsof Peer to Peer (Human to Human & Machine to Machine) relationalconnections.

FIG. 17 shows a logical block diagram of HumanServiceNet Framework'sNamespace or URI or Domain Name (URL) illustrating multiple identifierand example of path traversal for representation thereof.

FIG. 18 showing comprehensive view of operational graphical userinterface (GUI) for Subscriber (HSNS) illustrating the HumanServiceNetMessenger (HSNM) & HumanServiceNet Explorer (HSNE) positioned thereinalongwith workspace, Match Engine and communication interface therefor.

FIG. 19 illustrates example of graphical user interface (GUI) forHumanServiceNet Subscriber (HSNS) active Organizer & Message Manager andmultiple query formulation tools therefor.

FIG. 20 illustrates example of graphical user interface (GUI) forSubscriber (HSNS) active Journal illustrating multiple entries detailstherein the said journal.

FIG. 21 showing comprehensive view of operational graphical userinterface (GUI) for Human Agent (HSNHA) illustrating the HumanServiceNetMessenger (HSNM) & HumanServiceNet Explorer (HSNE) positioned thereinalongwith workspace, Match Engine and communication interface therefor.

FIG. 22 illustrates example of graphical user interface (GUT) forHumanServiceNet Human Agent (HSNHA) active Organizer & Answer Managerand multiple query answering tools therefor.

FIG. 23 illustrate example of graphical user interface (GUI) for HumanAgent (HSNHA) active Journal illustrating multiple entries detailstherein the said journal.

FIG. 24 illustrate example of graphical user interface (GUI) forSubscriber active composite search engine alongwith the multiple searchresults thereof and multiple searching tools therefor.

FIG. 25 illustrate example of graphical user interface (GUI) for HumanAgent active composite search engine alongwith the multiple searchresults thereof and multiple searching tools therefor.

FIG. 26 illustrate example of graphical user interface (GUI) for ServiceProvider (HSNSP) active wizards illustrating each of GUI for each ofchannel node and HSN controller alongwith the formatting parametersthereof.

FIGS. 27 and 28 illustrate examples of graphical user interface (GUI)for Human Agent (HSNHA) active wizards illustrating each of GUI for eachof channel node and HSN controller alongwith the formatting parametersthereof.

FIGS. 29 and 30 illustrate examples of graphical user interface (GUI)for Subscriber (HSNS) active wizards illustrating each of GUI for eachof channel node and HSN controller alongwith the formatting parametersthereof.

FIG. 31 illustrate examples of graphical user interface (GUI) forDevelopers (HSND) active wizards illustrating each of GUI for each ofchannel node and HSN controller alongwith the formatting parametersthereof.

FIG. 32 illustrate algorithmic sequences flowchart for each of channelnode registering for HOS products with the HumanServiceNet Controller.

FIG. 33 illustrate algorithmic sequences flowchart of the Developers'development proposition, registration and certification methodology.

FIG. 34 illustrate algorithmic sequences flowchart of the Serviceproviders' service offering proposition, registration and certificationmethodology.

FIG. 35 illustrate algorithmic sequences flowchart of the Human Agent'service proposition, registration and certification methodology

FIG. 36 illustrate algorithmic sequences flowchart of the Brokers'service proposition, registration and certification methodology.

FIG. 37 illustrate algorithmic sequences flowchart of Subscribers' PaidCertification and Registration methodology with HSN Controller

FIG. 38 illustrate algorithmic sequences flowchart of Registration ofHuman Agents', Service Providers' and Subscribers' with HSN Developervia HumanServiceNet.

FIG. 39 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request by plurality of channel nodes and itsprocessing by HumanServiceNet Controller and package key issuancethereby.

FIG. 40 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request by plurality of channel nodes and itsprocessing by Service Providers and package key issuance thereby.

FIG. 41 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request for AI Agents by plurality of channelnodes and its processing by Developers and package key issuance thereby.

FIG. 42 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request for knowledge invocation (KIS) andknowledge support services (KSS) by one or more subscribers & HumanAgents and its processing by Human Agent and package key issuancethereby.

FIG. 43 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request for intermediary services by one or moresubscribers & Human Agents and its processing by the Broker and packagekey issuance thereby.

FIG. 44 illustrate algorithmic sequences flowchart of service deliverymodel of the Service Providers displaying multiple communications withthe multiple other Service Providers, subscribers & Human Agents.

FIG. 45 illustrate algorithmic sequences flowchart of service deliverymodel of the AI Agents displaying multiple communications with themultiple channel nodes.

FIG. 46 illustrates algorithmic sequences flowchart of service deliverymodel of the Human Agents displaying multiple communications with themultiple channel nodes and one or more Human Circles thereof.

FIG. 47 illustrate algorithmic sequences flowchart of service deliverymodel of the Brokers displaying multiple communications with themultiple Subscribers and Human Agents.

FIG. 48 illustrate algorithmic sequences flowchart of communicationmodel of the Subscribers displaying multiple communications with themultiple channel nodes, including social personal group thereof and withthe HSN controller.

FIG. 49 illustrate algorithmic sequences flowchart of each of CHN'sService Package Keys Management displaying multiple package keyconfiguring parameters related to each of subscriber thereof.

FIG. 50 illustrate algorithmic sequences flowchart of each of CHN'sproduct Keys Management displaying multiple product key configuringparameters related to each of subscriber thereof.

FIG. 51 illustrates a flow diagram of HSN Default Multi AI Agents and AIAgent enabled Services (AIS) working modality including its development,registration and subscription flow and exploitation for automation.

FIG. 52 showing comprehensive view of operational graphical userinterface (GUI) for Email Service (HSNEM), Massaging, Notification andCommunication System illustrate HumanServiceNet Email Service interfacetherein.

FIG. 53 showing comprehensive view of the graphical user interface (GUI)for HumanServiceNet Online Portal (HSNOP) illustrates the possibleknowledge fields and tools therefor.

FIG. 54 illustrates Holistic View of Universal Human Service framework's(UHSF) Operating System (HOS) displaying the layered segregated circularoperating tiers necessary for service integration.

FIG. 55 showing graphical user interface (GUI) for HumanServiceNetReplication & Synchronization Manager (Publisher) illustrate multipletools responsible for Synchronization and Replication of Servicesincluding Source links, applications and Contents alongwith thereplication explorer thereof.

FIG. 56 shows a logical block diagram of HumanServiceNet (HSN)Replication Topology Models illustrate the replication topology of eachof CHN as per protocols thereof.

FIG. 57 showing graphical user interface (GUI) for binding humanservices from the UHSF system via web services with the 3^(rd) partysoftware and web sites like e-commerce, search engine and other websites illustrate the required tools therefor.

FIG. 58 shows discrete services which Human Grid can integrate for trueuniversal operation.

FIG. 59 shows a logical segregation of Human Grid in term of multipleSub-Grids and integration thereof.

FIG. 60 showing graphical user interface (GUI) for Human ServicesAggregation, Integration, Collaboration, Composition, Comparison,Co-ordination, Workflow, Orchestration and Choreography Manager forHumanServiceNet Subscribers [HSNS].

FIG. 61 showing graphical user interface (GUI) for Human ServicesFederation, Aggregation, Integration, Collaboration, Composition,Co-ordination, Workflow, Orchestration and Choreography Manager forHumanServiceNet Human Agents [HSNHA].

FIG. 62 showing graphical user interface (GUI) for HumanServiceNet QueryManager illustrate multiple tools for knowledge invocation andmanagement thereof alongwith the pane showing answers to the postedquery.

FIG. 63 showing graphical user interface (GUI) for Hit StatisticsManager for HSN Controller illustrate the hit statistics for each of thechannel node.

FIG. 64 showing graphical user interface (GUI) for Hit StatisticsManager for HumanServiceNet Developer (HSND), HumanServiceNet HumanAgent (HSNHA), HumanServiceNet AI Agent (HSNAIA), HumanServiceNetService Provider (HSNSP) and HumanServiceNet Broker (HSNB) and HitManagements' menu options.

FIG. 65 showing graphical user interface (GUI) for Multi Rank System forHumanServiceNet (HSN), HumanServiceNet Human Agent (HSNHA) andHumanServiceNet Subscriber (HSNS).

FIG. 66 showing a logical block diagram illustrates the scheme forSearching & Matching of Subscribers for Contents & Sources, mode ofcommunication therewith and associated advertising of contents by eachof CHN.

FIG. 67 showing a logical block diagram illustrates logical connectionof each of supernode with the CHN, HSNS and the HSN controller,composition of a supernode and taxonomically organized connectivity ofeach of SN components for search and match of HSNS.

FIG. 68 showing a logical functioning of Spider agent of a supernode andintegration of each of action agents alongwith relation data handlingthereby each of action agent.

FIG. 69 showing an interface for management of knowledge supportservices (KSS) illustrates the KSS project explorer, workspace explorer,KSS status and plurality of management tools.

FIG. 70 showing a logical block diagram illustrate HSNS universalprofile creation and updation at a supernode via survey system.

FIG. 71 showing an interface for management of subscriber supportservices (SSS) illustrates the SSS project explorer, workspace explorer,SSS status and plurality of management tools.

FIG. 72 shows a logical block diagram illustrate developersdissemination pattern of Rule Enabled applications [REA], rule enabledservices [RES] and rule wizards including functioning of variouscomponents, and data flow in the Rules-Based System.

FIG. 73 showing a logical block diagram of Black-Box Searching (BBS)system illustrates internal components of BBS system and its functioningin the keyword handling from the CHN.

FIG. 74 showing a logical block diagram of Universal Distributed (P2P)Knowledge and Information Database (UKID) system illustrate a method forCreation, Searching, Organization and Management of plurality of UKIDand LKID structures and replication thereof.

FIG. 75 showing a logical block diagram of HSN AdRouting Systemillustrates system components for advertisement storage, customertracking and a method for advertisement relevancy optimization.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

FIG. 1 illustrate a schematic block diagram of an essential embodimentof the Universal Human Service Framework (UHSF) showing the primary andrudimentary structural connections of the components, describing theprovisions for Human service net controller (1A) as a UHSF networkcontroller and regulator of the plurality of operations in the networkand is connected with various other plurality of operating componentspreferably known as channel nodes in the network 1I denoting thedeveloper component, 1J denoting the service provider component, 1Kdenoting the Human Agent component, 1L denoting the broker component, 1Mdenoting the subscriber component, and 1N denoting the Artificialintelligent agent component. Furthermore the network connection linessignifying the relationship aspect of the each operational channel nodeswith the HSN controller alongwith the relationship aspects thereof.1B-1E illustrating a typical composition of the HSN controller serverwherein HSN controller server (1A) forms a web server containing acluster of servers and peer to peer coordination & discovery server, for(1B) hosting database, (1C) a MS SQL Server meant for acting asrepository to all UHSF system data is communicating via protocol, (1E) aweb server operating via HTTP is a means for offering online portal forUHSF activities using business logic which are in the form of webservices e.g. (1D) .Net web service and hosts Human Services and otherHSN Services in the form of web services. FTP Server (1F) for file andproducts downloading including but not limited to HSNM, HSNEM, andApplications & AI Agents. HSN E-Mail Server (1G) to provide E-Mailservices via SMTP and POP and other E-Mail protocols. 1I to 1M showsmultiple services and products provided by HumanServiceNet Controller toall other nodes

FIG. 2 shows a schematic block diagram of a preferred embodiment ofUniversal Human Service Framework (UHSF) illustrating structuralconnection of developer nodes in the peer to peer environment alongwiththe relationship aspects thereof with the other channel nodes and HSNcontroller. 2A-2G illustrating preferred components of present webserver so as to establish connection with the various HumanServiceNetChannel nodes and internet framework wherein the network connectionlines signifying the relationship aspect of the each operational channelnode with the said developer alongwith the relationship aspects thereof.Notably enough each of channel nodes is preidentified with specificfunctionalities and requirements. The enablement of the saidfunctionalities is requiring various applications and utilities, variousdevelopers providing the required applications, utilities, add-ons andAI agents to various channel nodes, the connection lines indicating thetransmission of the same by means of product or package key. Wherein(2A) shows a host computer, for HumanServiceNet Developers (HSND), inthe form of web server containing a cluster of servers and peer to peercoordination & discovery server, for (2B) hosting database, (2C) MS SQLServer communicate via protocol, (2E) HTTP using business logic whichare in the form of web services, (2D) .Net web service for providingrelated services to the related parties and provide Centralize downloadsor upload for modules, demo & like so and its Updates & Upgrades via(2F) FTP web server, communicate to the all related parties, (2J)HumanServiceNet, (2K) HumanServiceNet Developer (HSND), (2L)HumanServiceNet Service Provider (HSNSP), (2M) HumanServiceNet HumanAgent (HSNHA), (2N) HumanServiceNet Subscriber (HSNS) & other 3^(rd)parties via (2G) Mail Server and all other required services and (2I)Peer to Peer sharing and communication with all related CHN

FIG. 3 shows a schematic block diagram of a preferred embodiment ofHumanServiceNet Service Provider (HSNSP) illustrating each relationalcommunication modality with other channel nodes and peer serviceproviders therein the UHSF system wherein the communication toolincluding HSNM, HSNE, HSNEM, and HSNOP facilitating the communicationfor service offering thereof the network connectivity is illustrated invarious modes including peer to peer and via web server wherein each ofoperational modes for multidevice (3I) enablement is representedalongwith multiuser (3F) operation and multiclient usability in thevarious smart devices (3J) thereof. (3A) illustrates a computer forHumanServiceNet Service Provider (HSNSP) on which (3B) Multi AI Agentsand (3C) communication, management & other utilities are installed toprovide Domain Server Admin capability to the provider to facilitateCommunication using Selective multi AI Agents, applications, utilities &Add-On from selective (3N) HSN Developers, Selective multi Collaborationfor Selective Multi Services from (3O) HSN Service Providers, ProvidesSelective Multi Services to (3P) subscribed HSN Human Agents andProvides Selective Multi Services to (3Q) subscribed HSN Subscribers.(3A) HSNSP could have multiple domains and (3F) Multi User & Adminlevels capability, could share & synchronized data, share files andcommunicate via (3G) web server remotely with (3H) Remote Server and/orwith other Domain Server for Collaboration via (3K) peer to peer with(3L) Remote Server and/or with other Domain Server for collaboration orwith other (3J) Multiple Client e.g. PDA, Mobile etc (3D) HSNOP or using(3E) 3^(rd) parties application, utilities, tools & services and/orshare & synchronized data within the modules using connected (3I) MultiDevices for the same.

FIG. 4 shows a schematic block diagram of a preferred embodiment ofHumanServiceNet Human Agent (HSNHA) illustrating each relationalfunctional protocol based communication modality with other channelnodes and peer service providers therein the UHSF system wherein thecommunication tool including HSNM, HSNE, HSNEM, and HSNOP facilitatingthe communication for service offering thereof, the network connectivityis illustrated in various modes including peer to peer and via webserver wherein each of operational modes for multidevice (4I) enablementis represented alongwith multiuser (4F) operation and multiclientusability in the various smart devices (4J) thereof. (4A) illustrates acomputer for HumanServiceNet Human Agent (HSNHA) on which (4B) Multi AIAgents and (4C) communication, various management & other utilities areinstalled to provide Domain Server Admin capability to the Human Agentto facilitate Communication using Selective multi AI Agents,applications, utilities & Add-On from selective (4O) HSN Developers,Selective multi Collaboration for Selective Multi Services from (4Q)Human Agents, Provides Selective Multi Services to (4P) subscribed HSNservice providers and Provides Selective Multi Services to (4S)subscribed HSN Subscribers and (4R) Brokers. (4A) HSNHA could havemultiple domains and (4F) Multi User & Admin levels capability, couldshare & synchronized data, share files and communicate via (4G) webserver or via (4K) peer to peer connectivity remotely with (4H) and (4L)Remote Server and/or with other Domain Server for Collaboration or withother (4J) Multiple Client e.g. PDA, Mobile etc via (4D) HSNOP or using(4E) 3^(rd) party application, utilities, tools & services and/or share& synchronized data within the modules using connected (4I) MultiDevices for the same.

FIG. 5 illustrates a schematic block diagram of a preferred embodimentof HumanServiceNet Brokers (HSNB) protocol based relationship andcommunication modality via peer to peer and web server wherein 5A, abroker's host computer characterizing the general computing aspects ofthe broker and communication channel of the said broker with the variouscomponent of a typical web server comprising a cluster of servers andpeer to peer coordination & discovery server, (5B) hosting database,(5C) MS SQL Server communicate via protocol, (5E) HTTP using businesslogic which are in the form of web services, (5D) .Net web service forproviding related services to the related parties and provide Centralizedownloads or upload for modules, demo & like so and its Updates &Upgrades via (5F) FTP web server, communicate to the all related partiesi.e. (5I) HumanServiceNet, (5J) HumanServiceNet Human Agent (HSNHA),(5K) HumanServiceNet Subscriber (HSNS) & other 3^(rd) parties via (5G)Mail Server and all other required services. Each of broker channel nodethe UHSF system by default protocol communicating with various humanagents and subscribers. The broker is meant for facilitation of servicesof the said human agents to the appropriately matched subscriberswherein each of brokers analyzing and categorizing various services ofvarious human agents so as to provide cost effective and reliableservices sources to various subscribers and receiving the predefined orpreagreed uni-way or bi-way commission in the said service subscriptiontransaction via same intermediate link of communication between humanagent and the subscriber.

As the UHSF system is primarily meant for providing value addedknowledge invocation and support services to each of service subscriber.Each of subscribers is essentially connected with every service andproduct procurement sources as illustrated in the FIG. 6 showingfunctional protocol based relationships of HumanServiceNet Subscriber(HSNS) with all HumanServiceNet channel nodes and various communicationtools including HSNM & HSNE, HSNEM and HSNOP so as to establish saidcommunication links. The host computer (6A) Subscriber (HSNS) is beinginstalled with HSNM & HSNE, (6B) Multi AI Agents and (6C) communication,management & other utilities providing Admin capability to thesubscriber to facilitate communication using selective Multi Servicesfrom (6M) HSN, Selective Multi AI Agents, applications, utilities &Add-On from selective (6O) HSN Developers, Selective Multi Services fromSelective multi (6P) Human Agents, Selective Multi Services fromSelective (6Q) Brokers and Selective Multi Resources from Selective (6R)Subscribers of Personal Networks, using (6J) Multi client e.g. PDA,Mobile etc, (6D) HSNOP or using (6E) 3^(rd) parties application,utilities, tools & services as well as to create (6L) Personal Network.(6A) illustrates a computer for HumanServiceNet Subscriber (HSNS), couldhave multiple members and (6F) Multi User & Admin levels capability,could share & synchronized data, share files and communicate via (6G)web server remotely with (6H) Remote Server and/or via (6K) peer to peerwith (6L) Remote Server or with other members and/or share &synchronized data within the modules and use connected (6I) MultiDevices for the same.

In the UHSF system framework each of channel node communicate andtransact with other channel node via predefined protocols wherein theknowledge communication being facilitated by means of various toolswherein FIG. 7 illustrates a logical block diagram of Universal HumanService Framework (UHSF) characterizing each of protocol basedtransaction amongst all the channel nodes illustrating interrelation mapof all the channel nodes. The HSN Controller (7A) being connected viasegmented lines to each of channel nodes offering various regulatoryservices and functional products including HumanServiceNet Messenger(HSNM) & HumanServiceNet Explorer (HSNE), HumanServiceNet E-Mail (HSNEM)and HumanServiceNet Online Portal (HSNOP) to each of channel nodespossessing active rights therefore, wherein the active rights aredetermined by means of product or package key issued by HSN controllerin respect of the said channel node. Each of Developers (HSND)collaborating, and issuing product or package key to human agents,subscribers and providers with respect to product request therefrom anddeveloping Multi AI Agents, Applications and Utilities & Add-Onindependently or collaboratively upon receiving license from HSNController, wherein each of subscriber mainly utilizing the humanknowledge services from various human agents (7D) or from the brokers(7E) and from various service providers (7C) thereof by means of packagekey via various transmission modalities including peer to peer, or viaweb service or via web services or via AI agents. The subscribers areforming various personal as well as social networks and using the samevia multi-client or multidevices enablement. Service providers (HSNSP)providing rule enabled services (RES), AI enabled services (AIS) andsponsored support services (SSP) to each of requesting human agents andsubscribers and (7E) Broker (HSNB) offering intermediary servicesfacilitation services via Package Key. (7F) Subscriber (HSNS) nodealternatively can work in standalone or have client-server methodologyand link with other client like online or mobile to exchange & Sharedata or link peer to peer to share files and share & synchronized data,communication remotely or with other members with restricted permissionby exploiting the existing communication standards and modalities,however utilizing the service subscription management including rightsand privileges administration.

In a methodological embodiment of HumanServiceNet, illustration 8through 10 represents the organizational framework and control &management utilities for continues regulation & governance by eachentity as per importance and functionalities attached therewith.

FIG. 8 shows a logical connection diagram of HumanServiceNet (HSN)active HumanServiceNet Explorer (HSNE) illustrating collapsible treerepresenting each of channel node wise segregation of control andmanagement information and multiple tools employed therefor wherein8C-8I showing the data arrangement of each of channel node in the HSNcontroller's explorer. The said explorer is meant for management of eachof data related to each of channel node alongwith the repositories forvarious administrative data. The functional aspect of each of channelnode is managed via various management utilities, product management,and service management. The functional utilities illustrated herein areexamples of the interface of the explorer not essentially covering thesaid functions and not excluding the other which are not representedherein. The various management functions includes Reports and Analysis,Ontology & Taxonomy Management, Content Management, HSNOP Management,Monitoring, Security, Action, Statistics & Analysis Management,Communication (Complaints, Supports, Feedbacks, Requests), Backup &Restore, Advertising Management Administration, HSN Wizards (HSNDManagement, HSNHA Management, HSNSP Management, HSNAIA Management, HSNSManagement, HSNB Management), Synchronization, E-Commerce Management,Multi AI Agents Management, Rules Wizard, Rules Management, UKIDStructure & software/tools Management, Survey Management, Query Manager,CHN Accounts for Commission and Settings, each of function facilitatingHSN controller management of various essential functions. Likewise theproduct management utilities facilitating generation, configuration ofproduct keys for various products, upgrades, updates and uploading ofthe same via FTP module. In the service management utilitiesfacilitating package key configuration, generation and maintainingvarious repositories and comprising various preservice and postservicerelated miscellaneous function management modules including ReportingService, Directories, Repositories & Inventories (HSN (Public Contents),HSND, HSNHA (KIS,KSS,HC,FS,RES,AIS,SSP), HSNB, HSNSP (KIS, FS, RES, AIS,SSP), HSNS (SSS), HSNAI-HSNAIS, Super Nodes, Rules, Ontology & Taxonomy,UKID Structures, Web Services, Resources Offerings, Survey Forms,Advertisings, Publications, Auto Content Providers, CHN's DynamicRelationships & Metadata Journal (For Explorer), Online HSNEM, HSNOP,Identity, Registration & Authentication, Alerts & Notification,Certification & Agreements, Replication, Search Engine, Match Engine,Rank Service, Brokering, Testing, Statistics & Analysis, Payment,Advertising, E-Commerce, Accounts & Metering, 3rd Party Services, WebHosting, and Peer to Peer Co-ordination & Discovery server wherein eachof the said functions are performed via the software modules thereof andare integrated for combine relational data management having checks andpermissions and event actuation of the said data-contents.

The explorer pane at the left side of the interface is being managed viaExplorer Management utilities wherein facilitating searching, filtering,sorting, Selecting Views, Replicating, Administering, and showingproperties of respective channel node details

FIGS. 9 and 10 showing the extended view of FIG. 8 illustrating eventsand historical data related attributes referring to each of channel nodeas represented by 8C to 8I.

(8I) illustrates the HumanServiceNet Explorer (HSNB) part ofHumanServiceNet Client Software preferably HumanServiceNet Messenger(HSNM) (HumanServiceNet Active) which lists the in-depth details relatedto the HumanServiceNet Services and related channel node subscribersi.e. HumanServiceNet Developer (HSND), HumanServiceNet Service Provider(HSNSP), HumanServiceNet AI Agent (HSNAIA), HumanServiceNet Human Agent(HSNHA), HumanServiceNet Broker (HSNB), HumanServiceNet Subscriber(HSNS).

(8C) illustrates the HumanServiceNet Explorer (HSNE) part ofHumanServiceNet Client Software preferably HumanServiceNet Messenger(HSNM) (HumanServiceNet Active) which lists the in-depth details relatedto the HumanServiceNet Service Provider (HSNSP) that show the list ofproviders & its details in tree format the same be devised so that eachhigher attribute encircles the following one in a concentric encircledmap. The explorer tree represents classification as per dynamic taxonomymanagement preferably Fields followed by Location followed by Providers(Domains). The explorer tree show (9A) a) details of specificHumanServiceNet Service Provider (HSNSP) services, b) details ofHumanServiceNet services used by specific HumanServiceNet ServiceProvider (HSNSP) c) details of Developers from whom Multi AI Agents,Applications, Utilities & Add-On purchased by a specific HumanServiceNetService Provider (HSNSP), d) details of collaboration with otherHumanServiceNet Service Providers (HSNSP), e) details of HumanServiceNetAI Agents (HSNAIA), HumanServiceNet Human Agents (HSNHA) &HumanServiceNet Subscribers (HSNS) subscribed for services.

(8D) illustrates the HumanServiceNet Explorer (HSNE) aspect ofHumanServiceNet Messenger (HSNM) (HumanServiceNet Active) which list thein depth details related to the HumanServiceNet Developers (HSND) whichshow the list of developers & its details in tree format the same beingdevised so that each higher attribute encircles the following one in aconcentric encircled map. The explorer tree represents classification asper dynamic taxonomy management preferably Fields followed by Locationfollowed by Domains followed by Developers. The explorer tree show (9B)a) details of HumanServiceNet Multi AI Agents, Applications, Utilities &Add-On developed by a specific developer, b) list and details ofdevelopers for collaborative development for AI Agents, Applications,Utilities & Add-On c) details of HumanServiceNet Service Provider(HSNSP), HumanServiceNet Human Agent (HSNHA), HumanServiceNet Subscriber(HSNS) to whom HumanServiceNet Multi AI Agents, Applications, Utilities& Add-On sold by a specific developer.

(8E) illustrates the HumanServiceNet Explorer (HSNE) aspect ofHumanServiceNet Messenger (HSNM) (HumanServiceNet Human Agent (HSNHA)Active) which list the in depth details related to the HumanServiceNetHuman Agent (HSNHA) which show the list of HumanServiceNet Human Agent(HSNHA) & its details in tree format the same being devised so that eachhigher attribute encircles the following one in a concentric encircledmap. The explorer tree represents classification as per dynamic taxonomymanagement preferably Fields followed by Location followed byHumanServiceNet Human Agent (HSNHA). The explorer tree show (10A) a)details of all services provide by specific HumanServiceNet Human Agent(HSNHA), b) details of HumanServiceNet services used by specificHumanServiceNet Human Agent (HSNHA), c) details of Developers from whomMulti AI Agents, Applications, Utilities & Add-On purchased by aspecific HumanServiceNet Human Agent (HSNHA), d) details of restrictedHuman Circles (HC) with other HumanServiceNet Human Agent (HSNHA), e)details of multi service provided by specific HumanServiceNet HumanAgent (HSNHA) to HumanServiceNet Subscribers (HSNS), f) details ofHumanServiceNet AI Agents (HSNAIA), HumanServiceNet Brokers (HSNB) andHumanServiceNet Service Provider (HSNSP) services subscribed by specificHumanServiceNet Human Agent (HSNHA).

(8H) illustrates the HumanServiceNet Explorer (HSNE) aspect ofHumanServiceNet Messenger (HSNM) (HumanServiceNet Subscriber (HSNS)Active) which list the in depth details related to the HumanServiceNetSubscriber (HSNS) which show the list of HumanServiceNet Subscribers(HSNS) & its details in tree format the same being devised so that eachhigher attribute encircles the following one in a concentric encircledmap. The explorer tree represents classification as per dynamic taxonomymanagement preferably Fields followed by Location followed byHumanServiceNet Subscribers (HSNS). The explorer tree show (9C) a)details of all services subscribed by specific HumanServiceNetSubscriber (HSNS), b) details of HumanServiceNet services used byspecific HumanServiceNet Subscriber (HSNS), c) details of Developersfrom whom Multi AI Agents, Applications, Utilities & Add-On purchased bya specific HumanServiceNet Subscriber (HSNS), d) details of restrictedpersonal networks with other HumanServiceNet Subscribers (HSNS), e)details of HumanServiceNet AI Agents (HSNAIA), HumanServiceNet HumanAgents (HSNHA) and HumanServiceNet Service Provider (HSNSP) servicessubscribed by specific HumanServiceNet Subscribers (HSNS).

FIG. 11 shows a logical connection diagram of Developer active Explorer(HSNE) illustrating collapsible tree representing each of relatedchannel node wise segregation of control and management information andmultiple tools employed therefor. (11A) illustrates the developer activeexplorer representing a tree structure containing information pointersand shortcut link to the related developers, providers, human agents,subscribers & 3^(rd) parties, the explorer tree shows the purchasedetails of service modules of the said developer by various serviceprovider, subscribers and human agents and the developers with whomService Modules, Attached Utilities, Other Utilities and Application aredevelop collaboratively, wherein 11C-11G showing the data arrangement ofeach of channel node. The explorer being a means for exploring theprearranged information related to each of related channel node whereineach of developer performing the product and customer management bymeans of various tools provided for Accounts & Sales Status generation,Reports and Analysis generation, Explorer customization by Filtering andsearching, Statistics & Analysis Management, Communication for handlingComplaints, Supports, Feedbacks, Requests, HSN (Certification &Registration), performing Backup & Restore operations, Notificationgeneration, Wizards for handling various channel nodes and formulatingrules, KSS management, Query Manager and Advertising Management. Each ofdeveloper being provided with the Products Management utilities forgenerating, Configuring and updating the product keys and for uploadingthe said products via FTP module. Adjunctively each of developerproviding the product subscriptions via HSNOP on predefined usage basisand by means of creating & configure package keys.

Data management being one of the significant function of the explorer,various tools for customization and for manipulating the explorer areprovided therein the utilities sections facilitating searching,Filtering & Sorting, views determination, wizards execution,bookmarking, sharing and security determination, and replication of eachof element in the explorer tree.

FIG. 12 shows a logical connection diagram of provider active Explorer(HSNE) illustrating collapsible tree representing each of relatedchannel node wise segregation of control and management information andmultiple tools employed therefor. (12A) illustrates the provider activeexplorer representing a tree structure containing information pointersand shortcut links to the related developers, providers, human agents,subscribers & 3^(rd) parties, the explorer tree shows the subscriptiondetails of various services of the said provider by various serviceprovider, subscribers and human agents and the developers, wherein12C-12H showing the data arrangement of each of channel node. productand customer management by means of various tools provided for Accounts& Sales Status generation, Reports and Analysis generation, Explorercustomization by Filtering and searching, Statistics & AnalysisManagement, Communication for handling Complaints, Supports, Feedbacks,Requests, HSN (Certification & Registration), performing Backup &Restore operations, Notification generation, Wizards for handlingvarious channel nodes and formulating rules via rules wizards, KSSmanagement, UKID wizard management, search macro management, QueryManager and Advertising Management. Each of provider being provided withthe information storage and management utilities are generating,configuring and updating the package keys. Various tools forcustomization and for manipulating the explorer are provided therein theutilities sections for explorer management facilitating searching,Filtering & Sorting, views determination, wizards execution,bookmarking, sharing and security determination, and replication of eachof element in the explorer tree.

FIG. 13 shows a logical connection diagram of human agent activeExplorer (HSNE) illustrating collapsible tree representing each ofrelated channel node wise segregation of control and managementinformation and multiple tools employed therefor. (13A) illustrates thehuman agent active explorer representing a tree structure containinginformation pointers and shortcut links to the related developers,providers, human agents, subscribers & 3^(rd) parties, the explorer treeshows the subscription details of various services of the said humanagent by various service provider, subscribers and human agents and thedevelopers, wherein 13C-13I showing the data arrangement of each ofchannel node product and customer management by means of various toolsprovided for Accounts & Sales Status generation, Reports and Analysisgeneration, Explorer customization by Filtering and searching,Statistics & Analysis Management, Communication for handling Complaints,Supports, Feedbacks, Requests, HSN (Certification & Registration),performing Backup & Restore operations, Notification generation, Wizardsfor handling various channel nodes and formulating rules via ruleswizards, KSS management, UKID wizard management, search macromanagement, HC management, answer Manager, replication management andAdvertising Management. Each of provider being provided with theinformation storage and management utilities are generating, configuringand updating the package keys. Various tools for customization and formanipulating the explorer are provided therein the utilities sectionsfor explorer management facilitating searching, Filtering & Sorting,views determination, wizards execution, bookmarking, sharing andsecurity determination, and replication of each of element in theexplorer tree, wherein each of human agent initially downloading therequisite communication and software utilities from the HSN controllerand developers and providing knowledge services by means of answermanager having provided with the workspaces creation and modificationtools for project management. The knowledge services and knowledgesupport services are being offered via package keys wherein each ofhuman agents creating, configuring various package keys.

FIG. 14 shows a logical connection diagram of subscriber active Explorer(HSNE) illustrating collapsible tree representing each of relatedchannel node wise segregation of control and management information andmultiple tools employed therefor. (14A) illustrates the subscriberactive explorer representing a tree structure containing informationpointers and shortcut links to the related developers, providers, humanagents, subscribers & 3^(rd) parties, the explorer tree shows thesubscription details of various subscribed services of the saidsubscriber from various service provider, subscribers and human agentsand the developers, wherein 14C-14I showing the data arrangement of eachof channel node, product and customer management by means of varioustools provided for Accounts & Sales Status generation, Reports andAnalysis generation, search macro player and search macro management,Explorer customization by Filtering and searching, Statistics & AnalysisManagement, Communication for handling Complaints, Supports, Feedbacks,Requests, performing Backup & Restore operations, Notificationgeneration, Wizards for handling various channel nodes and formulatingrules via rules wizards, KSS service subscription management, SSSmanagement, various project collaboration management, UKID wizardmanagement, replication management, social networking management andAdvertising Management. Each of subscriber posting request for packagekeys Various tools for customization and for manipulating the explorerare provided therein the utilities sections for explorer managementfacilitating searching, Filtering & Sorting, views determination,wizards execution, bookmarking, sharing and security determination, andreplication of each of element in the explorer tree.

The explorer tree shows the details of (14C) HSN services andsubscriptions, (14D) part of the explorer tree shows the details ofdevelopers whose service modules, attached utilities, other utilitiesand application are used by a service subscriber, list of other relatedservice module developers which are further made searchable for desiredattributes found with the help of search filter and more, (14E) part ofthe service explorer providing details of service provider whoseservices are subscribed or intended to subscribed and are beingbookmarked by the subscriber and the list of other related serviceproviders which are further made searchable for desired attributes.(14G) part of the service explorer providing details of human agentswhose services are subscribed or intended to subscribed and are beingbookmarked by the subscriber and the list of other related human agentswhich are further made searchable for desired attributes. (14H) part ofthe service explorer providing details of brokers whose services aresubscribed or intended to subscribed and are being bookmarked by thesubscriber and the list of other related brokers which are further madesearchable for desired attributes. (14I) part of the explorer tree showsthe details of subscribers, details of services subscribed bysubscriber, list of subscribers in the personal networks and list ofsubscribers found with the help of search & Filter for facilitatingsocial networking.

FIG. 15 shows a logical connection diagram of broker active Explorer(HSNE) illustrating collapsible tree representing each of relatedchannel node wise segregation of control and management information andmultiple tools employed therefor. (15A) illustrates the broker activeexplorer representing a tree structure containing information pointersand shortcut links to the human agents and subscribers, detailing thesubscription details of various services human agents and subscribers,wherein 15C-15F showing the data arrangement of human agents andsubscribers channel nodes. 15B representing the management panefacilitating product and customer management by means of various toolsprovided for Accounts & Sales Status generation, Reports and Analysisgeneration, Explorer customization by Filtering and searching,Statistics & Analysis Management, Communication for handling Complaints,Supports, Feedbacks, Requests, HSN (Certification & Registration),performing Backup & Restore operations, Notification generation, Wizardsfor handling various channel nodes and formulating rules via ruleswizards, KSS management, UKID wizard management, Query Manager andAdvertising Management. Each of provider being provided with theinformation storage and management utilities are generating, configuringand updating the package keys. Various tools for customization and formanipulating the explorer are provided therein the utilities sectionsfor explorer management facilitating searching, Filtering & Sorting,views determination, wizards execution, bookmarking, sharing andsecurity determination, and replication of each of element in theexplorer tree.

FIG. 16 illustrating a typical connection diagram for UHSF system,depicting mainly the protocol based relationship networking andcommunication patterns, wherein showing combinations of Peer to PeerFiles Sharing, Data Sharing & Synchronization, and communicationsbetween all the parties in the UHSF system. Beside combination it alsoshow the advantages Peer to Peer Files Sharing, Data Sharing &Synchronization, and communications. All connections are loosely coupledhaving high level of integrity to manage system resources so as tofacilitate fast copying & sharing with the help of a combined browserhaving all the roles active rights. The peer to peer enability via saidbrowser makes searching, matching, sharing, synchronization andcommunication a effective experience.

Communication has been a very systematic process since developed, itidentifies source, destination and various channels of data flow. In theUHSF system as shown in FIG. 17 namespace is a tool to systematicallyshape up the communication channel. Namespace traverses all hierarchicalnodes in the UHSF system and are separated by an interval as illustratedin an example (17M). A typical linear representation model of namespaceshowing 17A traveling through various nodes in a linear fashion i.e.from HSN controller to various channel nodes. This traversal is varyingin nature with regards to source of the information comprising one ormore optional parameters. For example with respect to channel node atypical namespace derivation stands as follows

-   1. HSN.Domain.HSND.<Developer Name>.ProdType.<Prod Name>-   2. HSN.Domain.HSNSP.<Service Provider Name>.ServiceType.    (KIS|RES|AIS|SSP|SMS).<Service Name>-   3. HSN.Domain.HSNAIA.<AI Agent Name>.ServiceType.<Service Name>-   4. HSN.Domain.HSNHA.<Human Agent Name>.ServiceType    (KIS|KSS|RES|AIS|SSP|SMS)<Service Name>-   5. HSN.Domain.HSNHA.HC|FS.<Human Agent Name>.ServiceType    (KIS|KSS|RES|AIS|SSP).<Service Name>-   6. HSN.Domain.Broker.<Service Name>-   7. HSN.Domain.Subscriber.SSS.<Service Name>-   8. HSN.Domain.Subscriber.Snet.<Snet Name>.<Subscriber Name>-   9. EmailAddress@HumanServiceNet.Com

E.g.: HSN.LasVegasTravel.HSNHA.YogeshRathod.KIS.TravelGuide

The first example of HumanServiceNet Namespace shows HumanServiceNetNamespace parameters for (17M) start with Root the first which indicatethe top most node i.e. (17A) HumanServiceNet itself. The secondparameter in the HumanServiceNet Namespace is Domain, the thirdparameter is the CHN name, the forth parameter is the human agent name,fifth parameter is service type and the sixth parameter is service name.

FIGS. 18 and 21 showing graphical user interface (GUI) for Subscriber(HSNS) and human agent active Messenger (HSNM) having embedded Explorer(HSNE) illustrate various tools for match making, various (18L and 21L)parameters selection including taxonomy classification, domain, channelnode, source name and service. The subject field is selected via 18B &21B, the 18L & 21L selection fields are linked with the subject field(18B and 21B) and (18D and 21D) providing for further multiple channelnodes and UHSF identified cluster as well as service type includingpaid, free, offline smart client, mobile or wireless client, HSN via webservices and HSNM with 3ed party applications and services for devisingstrategies for conditional match making by means of plurality ofBooleans logical combinations to improve upon search specificity inparticular domain thus saving on time and network resources employedtherein. Search engine further facilitating search conduction at fourdifferent granular levels including HSN, Taxonomy classification basedService Cluster, Personal Networks and Local Networks, restrictingsearch to specific domain wherein each of human agent sending selectedresources from selected sources for selected queries of selectedservices to selected subscribers via selected utilities by selectedclient of HSNM. As HSN employs cluster approach for improving on serviceorientation ground, same tool of clusters is used to limit the search tospecific cluster of operation. 18E and 21E represents a typical formatof search results and are browsed via 18C & 21C changeable tab selectionand 18F & 21F showing search status bar showing description of matchmaking result and actual annotated results, with its namespace appendedtherein respectively. 18G & 21G showing a massager having a input areaand massaging contents of each of participant in the communicationprocess with the said subscriber or within the said group, the saidmatch making engine employing plurality of match making techniques toretrieval relevance and precision optimization conducting basic matchmaking, wizard based match making, advanced match making, and commandbased match making, wherein 18H & 21H providing for selection of variouscommunication modality including text massaging, voice & video, filesharing, chatting, IP phone, fax, mailing, meeting and collaborating.18J & 21J showing a subscriber's and human agent's workspacerespectively, providing for management of different searching attemptswhich are carried on the project basis, providing details regardingcurrent contacts which are currently active with in the said workspace,online contacts which are currently online in the UHSF system andoffline contact which are not currently logged in to the UHSF system,wherein the users can manipulate each of the member in the workspace bycreating, deleting, renaming, copying, restoring, and sendingworkspaces. Workspaces are categorized into 1. Active, 2. Unread and 3.Read wherein active workspaces are the one which members have open forreading or updating, Unread workspaces contains new or updatedinformation, and Read workspaces that do not currently contains any newor updated information.

The said GUI is fully customizable as per requirements. Section 18I &21I navigation tree structure is based on dynamic taxonomyclassification (e.g. Field, Location and Domain etc.) of each of channelnode and subscriber can select node & use 3^(rd) click menu options totake necessary actions, Section 18D & 21D of the search engine GUIillustrate basic match making engines enabling selection of varioussearched parameters based on The HumanServiceNet match making engine isenabled for tracking operations for plurality of channel nodes based onpredefined specified criterions, expressed in terms of plurality ofkeywords with combinational Booleans logic involved therein. Also thesaid search engine employs subject specific semantic ontology to improveupon precision and relevance of searched information into theHumanServiceNet framework. Further the matched or searched results areoperated with plurality of functional tools including but not restrictedto sorting, ranking, tracking, filtering, settings, printing, sendingmatched or searched results, downloading information, comparing,multiple view generating, auto matching, exporting and saving the saidresults.

18D & 21B provides for text box to enter Keywords and Boolean Logic like(AND (+), OR (|), NOT (−), Phrases, Multi Brackets for Multi Innersearches, ontology & taxonomy selection tools to select hierarchicalcategorization or classification of entities or services within a domainor field e.g. taxonomy classification of services like Fields, location,domain category, sub-category etc., multiple Channel nodes and check boxselection to provides granularity in searching approach is enabled bypenta tier searching facilitated by searching depth determination.

The matched results (18F & 21F) containing URI or HSN Namespace or URL,Source channel node name, weight, rank, grade or points, Paid or free orsponsored or relational (Personal network) service, status (subscribedor not subscribed) for particular service, short information of source.

Users are being enabled to bookmark, save results or sent queries toselected sources and can click hyperlink for more details, furtherperforming 3^(rd) click operations on hyperlinks for more actions likeask for more details, subscribe and make payments, sort results (nodewise, ASC, DESC etc.), take printouts etc.

FIG. 19 illustrating a query manager a means for organizing the queriesvia various selection provisions, wherein necessarily each of intendedquery need to be selected from a specific taxonomy class from theselection in 19B, the query can be keyword based, natural languagequeries (19C), or command based and the said query can be selectivelyposted at the selected sources, for selected consideration via selectedcommunication utility (19I). Additional tool facilitating the managementof the said query considering it to be knowledge invocation activity forarchiving the posted queries, providing query directory, query assistantfor helping user to draft queries, scheduling, saving, and publishingthe said queries. Queries posted therein are ready to use query or querysyntax or query in the repository, or published query (taxonomyclassification based) wherein each of query are validated for protocolbased role activity.

FIGS. 20 and 23 illustrating a GUI of a journal module showing variousentries of the actions and responses of each the HSNS and human agentrespectively wherein the recording fields includes date, HSN URL, source(from box), service, communication details, status, massages, details,descriptions, attachments, lists, taxonomy classification, size,workspace, and tracking status for each of action and transaction of thesaid subscriber and human agent, the said journal is being madesearchable (20A & 23A) and can be sorted in the desired sort preference.

FIG. 22 showing GUI for various utilities and provisions for organizerand answer manager for each of human agent, facilitating human agent toorganize each of received queries from one or more subscriber whereinselecting subscribers (22C) via selection window and actively exploitmultiple UHSF system resources (22G & 22H) for answering the saidqueries alongwith resources are provided to querying subscriber (22I).Further the communication utilities can be selected for forwardinganswers to subscribers via 22K multiple communication utility selectionwindows. Wherein human agent optionally publishing the said answerglobally UHSF wide, or in the related human circles based on the mutualdata confidentiality agreement terms acceptance by mutual parties.Additional answer organizing tools are provided (22N) which areproviding for scheduling, creating publication, drafting, saving andexploiting rules wizard.

FIGS. 24 and 25 illustrate example of graphical user interface (GUI) forSubscriber and human agent active composite search engine alongwith themultiple search results thereof and multiple searching tools thereforincluding tools for bookmarking, sorting, ranking, comparing, searching,filtering and printing of the search results. 24I & 25I showing therespective activity specific explorer, 24D & 25D various searchparameters and 24E & 25E showing a typical representation of searchresults showing namespace of the result and actionable toolssupplemented therewith so as to execute the said search results to itsfinal accomplishment includes details, rank, subscribe, package details,review, download and status

FIG. 26 through 31 illustrating wizard interfaces for each of channelnode with respect to specific accomplishment via other channel nodes.FIGS. 26 to 31 illustrating example of graphical user interface (GUI)for Service Provider (HSNSP), HSNHA, HSNS, and HSND active wizardsillustrating each of GUI for each of channel node and HSN controlleralongwith the formatting parameters thereof, the formatting parameterselection is based on the predetermined selection logic for each ofchannel node wherein each of steps providing multiple options to choosefrom so as to accomplish the selected task.

The general tasks accomplishment by each of provider via wizard in FIG.26 with respect to particular channel node to be accomplished are asfollows:

for Developer (26A): a. download AI agents, utilities, & application, b.make payments, c. get product details, d. register;for HSN controller (26B): a. check service details, b. make payments, c.get package keys, d. subscribe;for Human agent (26C): a. browse HA, b. search, match and bookmark HA,check request, c. send matched contents, d. send package key;for subscriber (26D): a. brows HSNS, b. search, match, bookmark HSNS, c.check request, d. send match contents, e. send package keys;wherein each of tasks performed via wizards are alternativelyaccomplished by means of separate specific functional tool orcombination of tools thereof in the same order or in the different.

The general tasks accomplishment by each of human agent via wizard inFIGS. 27 & 28 with respect to particular channel node to be accomplishedare as follows:

for Developer (27A): a. download AI agents, utilities, & application, b.make payments, c. get product details, d. register;for HSN controller (27B): a. check service details, b. make payments, c.get package key, d. subscribe;for provider (27C): a. check service details, b. make payments, c. getpackage key, d. subscribe for Human agent (27D): a. browse HA, b.search, match and bookmark HA, check request, c. send matched contents,d. send package key;for subscriber (28A): a. brows HSNS, b. search, match, bookmark HSNS, c.check request, d. send match contents, e. send package keys;for Brokers (28B): a. check service details, b. make payments, c. getpackage key, d. subscribe;wherein each of tasks performed via wizards are alternativelyaccomplished by means of separate specific functional tool orcombination of tools thereof in the same order or in the different.

The general tasks accomplishment by each of subscriber via wizard inFIGS. 29 & 30 with respect to particular channel node to be accomplishedare as follows:

for Developer (29A): a. download AI agents, utilities, & application, b.make payments, c. get product details, and d. register.for HSN controller (29B): a. check service details, b. make payments, c.get package key, d. subscribe;for provider (29C): a. check service details, b. make payments, c. getpackage key, d. subscribe for Human agent (27D): a. browse HA, b.search, match and bookmark HA, check request c. send matched contents,d. send package key;for subscriber (30A): a. brows HSNS, b. search, match, bookmark HSNS, c.check request, d. send match contents, e. send package keys;for Brokers (30B): a. check service details, b. make payments, c. getpackage key, d. subscribe;wherein each of tasks performed via wizards are alternativelyaccomplished by means of separate specific functional tool orcombination of tools thereof in the same order or in the different.

The general tasks accomplishment by each of developer via wizard in FIG.31 with respect to particular channel node to be accomplished are asfollows:

for HSN controller (31A): a. check service details, b. make payments, c.get package key, d. subscribe;for Developer (31B): a. upload AI agents, utilities, & application,resources, updates and upgrades b. collaboration, c. support, d. productkey management, e. package key managementfor Human agent (31C): a. browse HA, b. search, match and bookmark HA,check request, c. send matched contents, d. send package key;for subscriber (31D): a. brows HSNS, b. search, match, bookmark HSNS, c.check request, d. send match contents, e. send package keys;wherein each of tasks performed via wizards are alternativelyaccomplished by means of separate specific functional tool orcombination of tools thereof in the same order or in the different.

FIG. 32 illustrate algorithmic sequences flowchart for registration ofeach of channel node with the HumanServiceNet Controller. The logicalflow therein deriving dependencies from the previous status of bothregistered and unregistered users in the UHSF system.

FIG. 33 illustrate algorithmic sequences flowchart of the Developers'development proposition, registration and certification methodology.

FIG. 34 illustrate algorithmic sequences flowchart of the Serviceproviders' service offering proposition, registration and certificationmethodology.

FIG. 35 illustrate algorithmic sequences flowchart of the Human Agent'service proposition, registration and certification methodology

FIG. 36 illustrate algorithmic sequences flowchart of the Brokers'service proposition, registration and certification methodology.

FIG. 37 illustrate algorithmic sequences flowchart of Subscribers' PaidCertification and Registration methodology with HSN Controller

FIG. 38 illustrate algorithmic sequences flowchart of Registration ofHuman Agents', Service Providers' and Subscribers' with HSN Developervia HumanServiceNet.

FIG. 39 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request by plurality of channel nodes and itsprocessing by HumanServiceNet Controller and package key issuancethereby.

FIG. 40 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request by plurality of channel nodes and itsprocessing by Service Providers and package key issuance thereby.

FIG. 41 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request for AI Agents by plurality of channelnodes and its processing by Developers and package key issuance thereby.

FIG. 42 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request for knowledge invocation (KIS) andknowledge support services (KSS) by one or more subscribers & HumanAgents and its processing by Human Agent and package key issuancethereby.

FIG. 43 illustrate algorithmic sequences flowchart of Selective MultiServices Subscription request for intermediary services by one or moresubscribers & Human Agents and its processing by the Broker and packagekey issuance thereby.

FIG. 44 illustrate algorithmic sequences flowchart of service deliverymodel of the Service Providers displaying multiple communications withthe multiple other Service Providers, subscribers & Human Agents.

FIG. 45 illustrate algorithmic sequences flowchart of service deliverymodel of the AI Agents displaying multiple communications with themultiple channel nodes.

FIG. 46 illustrates algorithmic sequences flowchart of service deliverymodel of the Human Agents displaying multiple communications with themultiple channel nodes and one or more Human Circles thereof.

FIG. 47 illustrate algorithmic sequences flowchart of service deliverymodel of the Brokers displaying multiple communications with themultiple Subscribers and Human Agents.

FIG. 48 illustrate algorithmic sequences flowchart of communicationmodel of the Subscribers displaying multiple communications with themultiple channel nodes, including social personal group thereof and withthe HSN controller.

FIG. 49 illustrate algorithmic sequences flowchart of each of CHN'sService Package Keys Management displaying multiple package keyconfiguring parameters related to each of subscriber thereof.

FIG. 50 illustrate algorithmic sequences flowchart of each of CHN'sproduct Keys Management displaying multiple product key configuringparameters related to each of subscriber thereof.

FIG. 51 illustrates a flow diagram of HSN Default Multi AI Agents and AIAgent enabled Services (AIS) working modality including its development,registration and Subscription flow and exploitation for automationwherein plurality of developers (51B) developing one or more AI agentsand each of service offeror (51C) including at least one human agent andat least one providers downloading one or more AI agents from one ormore developers (51B) wherein each of service offeror (51C) customizingand training the downloaded AI agents to offer AI enabled services (AIS)to one or more channel nodes (51G) in the UHSF system and registeringthe said MS with HSN controller (51A) wherein HSN controller storing andmaintaining repository of each of registered AIS and making themsearchable to each of subscribers (51E) wherein the subscribersdownloading requisite MS from one or more searched human agents andproviders offering AI enabled services and customizing and training saidAIS personally or collaboratively with other subscribers (51F) as perpreferences thereof.

FIG. 52 showing comprehensive view of operational graphical userinterface (GUI) for Email Service (HSNEM), Massaging, Notification andCommunication System illustrate HSN Email Service interface wherein 52Dshowing the emailing posting windows and writing area whereas 52Hshowing the received mails arranged datewise. Each of mail can either beposted to specific channel node or can be broadcast using filteroperation. The explorer 52C in the lest hand side enabling email displayto relevantly clicked channel node and 52E section forming a databasepart of the emailing system comprising of inbox, outbox, draft, sentitem, recycles items, journal, search, organizer, query manager,replication manager, calendar, contact, notes and tasks. The functionalaspect of emailing covering inmail and outmail alerts and asks forpermissions as per settings via (52F) a auto content alters setting bythe users thereof wherein selecting taxonomy, sources, source name andservices for receiving auto alerts. The HSNE provides for all HumanServices via Email and communicate with known as well as unknown usersand subscribe for auto contents from selected multi sources. Send oradvertise Email content to any matched subscribers (two way matchmaking) based on the associated metadata and send Emails to Multi knownas well as unknown matched sources via multi Search Sources & Contentsoptions.

FIG. 53 showing comprehensive view of the graphical user interface (GUI)for HumanServiceNet Online Portal (HSNOP) illustrate the possibleknowledge fields and tools therefor, 53D representing a typicaldirectory structure of plurality of subject containing subject indexfollowed by UHSF activity specific accomplishment of each of taskincluding products and services subscription therefrom. An online portalproviding for web based support, subscription system for onlineshopping, webservices, emailing and massaging, questions and answerpublication, and primarily an interface for membership and channel nodemembership registration. Providing for a UHSF system wide 53E dataanalysis, facilitating users for better understanding the systemfunction providing for rankwise human agents, human circle directory,Publish Directory & CD, Human Agents Job Posts, Human Agents Franchise,Purchase Contents, RES Services & Apps Directory, Survey Searches &Directory, HSN Human Services via Web Services Directory, HSN Free WebSpace (Human Sites), HSN Publications (News Papers & Magazines), HSNDomain specific knowledge Dictionary CD, Knowledge Support Services(KSS) Directory, Subscriber Support Services (SSS) Directory, and SuperNodes & Taxonomy Directory. 53F provides for plurality of servicedirectories and download facility of plurality of channel nodesincluding that of HSN controller. 53B and 53C providing interface forsearching and navigating UHSF resources. Each of users having access tothe said online portal is enabled to login via product key thereof.

FIG. 54 illustrates Holistic View of Universal Human Service framework's(UHSF) Operating System (HOS) displaying the layered segregated circularoperating tiers necessary for service integration wherein users (54F)forming the external most layer of the UHSF operating system. This layer(54F) typical meant for human networking and social networkingdevelopment on the UHSF interactive and communication platform asrepresented by communication layer (54E) the said layer comprising ofplurality of communication modality integrated in one platform andprovided by means of product key on demand, wherein each of user inlayer 54F installing the said communication utility including HSNE,HSNM, HSNEM, and HSNOP providing for different modality including voice,text and video communication. The UHSF operating system furtherproviding for core system level functionality (54D) search, and matchingof system resources including channel nodes for requisite keywords orfull text queries. The operating system further providing forintegration of human (54C) services at the internal core of theoperating system model, wherein each of human in the UHSF system areperceived in the predefined and system identified attributes andparameters, facilitating KSS, RES, AIS, SSS, SSP and knowledgeinvocation services (KIS), the system level enability of plurality offunctions provided by UHSF system are operated by means of variousapplication and software utilities developed by plurality of developers(54B) so as to facilitate user perform advance functions on the UHSFplatform, the HSN controller forming the core kernel (54A) of the saidmodel of UHSF operating system is a means for system wide events,registration and certain essential functions which are not performed inpeer to peer environment are centrally managed by the said controller.

FIG. 55 showing graphical user interface (GUI) for HumanServiceNetReplication & Synchronization Manager (Publisher) providing knowledgereplication services. User can replicate publications of ServiceSources, Applications and Contents via push subscriptions to selectedsubscribers as well as subscribe for replication publications via pullsubscriptions. In the UHSF system data can be published either globallyi.e. complete UHSF systemwide or in the specified identified socialgroup or to the identified privileged channel nodes for conditionalaccess therefor. Replication is a set of technologies for copying anddistributing Sources (Services), Applications and Contents (Data &Files) from one Source to another and then Synchronizing between Sourcesfor consistency. Using replication, users are enabled to distribute datato different locations, to remote or mobile users over a local areanetwork, using a dial-up connection, and over the Internet. Replicationalso allows users to enhance application performance, physicallyseparate data based on how it is used or distribute database processingacross multiple servers. The content of each of channel node needsreplication and synchronization at the appropriate part of the systemfor updated picture of the system providing availability of data whenand where it is needed. The replication and synchronization managerhelps accomplish the said task via various tools wherein the interfacethereof having regular system explorer (55C) to the left andspecifically replication explorer (55D) to the right showing thepublication details of the said publisher. Replication facilitatingmultiple users to keep copies of the same data which is useful whenmultiple users need to read the same data and facilitates greaterautonomy in the system for distributing copies of data and changes on ascheduled basis wherein multiple users making changes then merging thedata modifications together by means of creating publication.Publications are basically made for sources (55F), applications (55G),and contents (55H), wherein the publisher selecting each of services,data-files, and applications via filtering from the sources thereof. 55Iselection providing for determination of replication type as atransactional, merge or snapshot and providing for privilege ofanonymous pull subscription and selection and filter for subscribers forgenerating push subscription. The replication further can bepreprogrammed via replication rules wizard and can be monitored.

FIG. 56 shows a logical block diagram of HumanServiceNet (HSN)Replication Topology Models illustrate the replication topology of eachof CHN as per protocols and relationship established via FIGS. 7 and 16wherein HSN controller (56A) replicating topologically to at least onehuman agent, service provider and subscriber, each of human agentproviding replicating topologically to SN controller and to at least onehuman agent, human circle, human federated services and subscriber, eachof subscriber replicating to HSN controller and at least one subscriber,each of service provider replicating to HSN controller, and at least oneservice provider, subscriber, human agent, human circle, and humanfederated services and each of developer replicating to at least oneservice provider, subscriber, human agent. The said replication andsynchronization of various publications is regulated via protocol basedcorrespondence logic.

FIG. 57 showing graphical user interface (GUI) for binding humanservices from the UHSF system via web services with the 3^(rd) partysoftware and web sites like e-commerce, search engine and other websites illustrate the required tools therefor including searching (57B)and navigation (57C) tools wherein each of UHSF system user searchingfor human agents services deemed to be used via web services andestablishing connection therewith via webservices invocation logic.

FIG. 58 shows discrete services which Human Grid can integrate for trueuniversal operation. Fields, domain and subject are being identifiedparameter whereby each of interested human are grouped together forminga segregated subjectwise human aggregation for social networking andknowledge sharing, the similar aspects are exemplified but notrestricting the scope of operation of the said system which includesuniversal human operating system (58A), universal human serviceframework (58B), Universal Human Relationship Management (58C),Universal Innovation Networking (58D), Universal Clustered Virtual Brain(58E), Universal Social Networking (58F), Universal Knowledge Management(58G), Universal Digital Divide Solver (58H), Universal Human SearchEngine (58I), Universal Human Match Maker (58E), Universal Human ID(58K), Universal Human Knowledge Transfer (58L), Universal HumanResources Repository (58M), Universal Human Linking & Network (58N),Universal Human Taxonomy Classification (58O), Universal Human ResourcePlanning (58P), Universal Human to Human Communication (58Q), UniversalHuman Collaboration (58R), Universal Human Grid Utilization (58S),Universal Human society (58T), Universal Human and Machine Collaborationvia Human (Services) Grid and Information & Computing Grid (58U).

FIG. 59 shows a logical segregation of Human Grid in term of multipleSub-Grids and integration thereof as exemplified in FIG. 58. 59Arealizing a human grid and possible subcomponents into data &information grid (59B), physical grid (59E), knowledge grid (59C),computing grid (59D), resources grid (59H) and various sub grids as perattributes, taxonomy, ontology and classification (59G). In the UHSFsystem grid formation being considered at universal level,enterprisewide grid creation can not be ruled out as corporate aregrowing in sizes hence it is difficult to manage such distributedphysical and computing resources without grid formation. Thoughcommunication and transactional aspects remains the same in any gridconfiguration what differs is subject headings, their behaviors, andtheir desired implementation, which can be worked out for any givensituation.

FIG. 60 showing graphical user interface (GUI) for Human ServicesAggregation, Integration, Collaboration, Composition, Comparison,Co-ordination, Workflow, Orchestration and Choreography Manager forSubscribers (HSNS) wherein each of subscriber exploiting the UHSF systemresources and enabling the communication, interaction and data transferbased on the predetermined protocol and widely automating variousfunctions and managing them in the workspaces (60E). Services andresources utilization requires a platform having tools for aggregationintegration, collaboration, composition, comparison, coordination,workflow management, orchestration and choreographing of the saidservices. Each of subscriber organizing services subscription andplanning via tools provided for searching, inquiring and subscribing thesaid services. 60D providing for a ready reference showing statusavailability of various sources. 60G a messenger for submitting selectedqueries of selected classification of selected services for multipleresources via selected utilities by selected clients of HSNM. 60A & 60Bproviding for various tools for accomplishment of above stated objectswherein the said objects includes management tools for variousoperations related to workspace, taxonomy, services, utilities, tools,actions, message, transaction and project management. 60F providing forcontent organization wherein all communication and events related datais stored. Choreographing via use of various tools facilitating weavingof different Human Services into meaningful business process, Sequence,and transaction. Sequence whereby aggregating service groups and servicecollections, integrating 3^(rd) party web services, establishingcollaborative communication flow between human agents, human servicesand other all services, composing, life cycle management (e.g. creation,termination etc.), comparing Human Services as per quality (hits &ranks), relevance and package price (as per TCO), coordinating Workflowthe management of steps in a business processes wherein a workflowspecifies what tasks need to be done, in what order (sometimes linearly,sometimes in parallel), and who has permission to perform each task.Most task performers are humans but they can also be automatedprocesses, orchestrating the control and data flow between HumanServices into business process.

(60B and 60C) Workflow Explorer contains 1 or more user created Topicand all Sub-Topics related to particular subject or task or query orissue or problem or business requirements etc. e.g. Topic is [How toSetup Firm at New York City?] and its Sub Topics are (1) Real Estate (2)Legal Requirements (3) Recruitment (4) Marketing (5) Finance etc. whichis classified and arranged via (Step-1) Taxonomy & Ontology Managementwhich provides all functionalities like create new, open existing, usefrom archive or tag, replication from multi sources and import taxonomyproject. Projects can be edited and deleted. Taxonomy can be ordered andranked as per requirements and metadata can associate with each part oftaxonomy. Each Sub-Topic has (Step-2) Workspace Management, in which 1or more workspace can be managed. User can create new, open existing,attach, detach, use from Archive or tag, import, replication and invitefor workspaces. E.g. Sub-Topic Real Estate has two workspaces likeEstate_NY and Estate_NJ. Each Workspace can contain 1 or more utilitiesand applications for communication, collaboration and content managementvia (Step-3) Utilities Management which contains attach, detach,download and replication of Utilities. e.g. HSN IM, HSN Email,Collaboration, Discussion, File Sharing, Chat, IP Phone, Fax, E-Mail.Each Sub-Topic has (Step-4) Service Management, in which 1 or moreservices of HSN, HSNHA, HSNSP, HSNAIA, and HSNB are attached, detached,searches via multi options like Auto Match, Custom Match, Search &Bookmark, Browse HSN Directory, Publish (Global), Publish (Filtered),Auto Content (Alert), HSN Address Directory, HSN Explorer (HSNB) andHuman Match Maker, Ranking & Ordering, Replication, Aggregation,Integration, Collaboration, Composition, Comparison, Co-ordination,Workflow, Orchestration and Choreography. (Step-5) is Message managementwith the help of Journal, Organizer, and Multi search & math options,Inbox, Outbox, Sent Items, Draft, Recycle and other options required formessage and content management. (Step-6) is Action Management whichprovides varies utilities and tools for successful workflow

Like Calendar, Tasks, Journals, Services and Utilities & Applications.(Step-7) is Transaction Management which has 1 or more Services e.g.Payment for successful transaction.

(60D) illustrates Service Sources status like Current indicatescurrently sources are communicating, Online status indicates servicesources are online and available for communication and offline statusindicates currently service sources are offline and available at later.

(60E) illustrates workspace status Current (Legal, Setup Firm,Estate_NY, Estate_NJ) indicates currently use workspaces, Read (Legal,Estate_NY, Setup Firm) indicates workspace contents already read andUnread (Recruitment, Marketing, Estate_NJ) indicates workspaces contentnot read.

FIG. 61 showing graphical user interface (GUI) for Human ServicesFederation, Aggregation, Integration, Collaboration, Composition,Co-ordination, Workflow, Orchestration and Choreography Manager forHuman Agents (HSNHA) wherein each of HA providing one or more federatedservices including devising services categories as per taxonomy andrelated to particular subject or task or problem or issue or topic andarrange and transmit for solution or answer thereof to one or moresubscribers thereof composing one or more needs, behavior, likings,requirements, and queries of one or more subscribers and one or moreservice group explorers wherein the choreography of said composition isexecuted via workspace explorer thereof so as to orchestrate thefederated services of plurality of HSNHA. The service federation by eachof HA is enabled via various management tools (61A & 61B) includingtaxonomy, services, package key, subscribers, workspaces, group, andtools management, wherein each of human agent providing variousfederated services and communicating, interacting and transferring databased on the predetermined protocol. Each of service offering andfederation thereof is widely automated and managing them in theworkspaces (60E) wherein tools therefor organizing services federationand planning including searching, inquiring and subscribing the saidservices.

(61B and 61C) Service Groups or Federation Explorer contains 1 or moreuser created Service Groups and Sub-Groups related to particular subjector task or query or issue or problem or business requirements etc. e.g.Service Group is [US Travel] and all related services are (1) TravelEnquiry (2) Visa Procedure (3) Travel Experience (4) Book Air/Car/Cruise(5) Hotel Booking etc. which is classified and arranged via (Step-1)Taxonomy & Ontology Management which provides all functionalities likecreate new, open existing, use from archive or tag, replication frommulti sources and import taxonomy project. Projects can be edited anddeleted Taxonomy can be ordered and ranked as per requirements andmetadata can associate with each part of taxonomy. Each Sub-Topic has(Step-2) Service Management, in which 1 or more services of HSN, HSNHA,HSNHC, HSNSP, HSNB, HSNAIA are attached, detached, searches via multioptions like Auto Match, Custom Match, Search & Bookmark, Browse HSNDirectory, Publish (Global), Publish (Filtered), Auto Content (Alert),HSN Address Directory, HSN Explorer (HSNE), Human Match Maker andFederated Services Directory, Ranking & Ordering, Replication,Federation, Aggregation, Integration, Collaboration, Composition,Comparison, Co-ordination, Workflow, Orchestration and Choreography.(Step-3) is Package Keys Management in which system user (HSNHA) cancreate and customize package keys and search and collaborate with otherservice providers for combo or bundled services package keys related toparticular service groups or subscribers requirements. (Step-4) isSubscribers Management in which system user (HSNHA) can checksubscribers service request, provides guidance & solution and issuepackage keys as per requirements. E.g. Subscribers Management in servicegroup explorer tree shows Subscriber Amitabh and his all subscribedservices and service package keys management, Collaborative or othersServices Links and service package keys management and lists requestedServices, Alternate services and suggested services.

(61D) illustrates Service Sources status like Current indicatescurrently sources are communicating, Online status indicates servicesources are online and available for communication and offline statusindicates currently service sources are offline and available at later.

(61E) illustrates workspace status Current (Travel, Book Hotel, Cruise,US Visa) indicates currently use workspaces, Read (Travel, Book Hotel)indicates workspace contents already read and Unread (US Visa, Cruise)indicates workspaces content not read.

FIG. 62 illustrates HSN Query Manager which is an interactive graphicaltool for knowledge invocation and management thereof alongwith the paneshowing answers to the posted query that allows user to create one ormore queries and other scripts and execute them against HSN ServiceProviders (Service or Content Providers Peer to Peer or centralize HSNsearch engine) and is providing for all search, match and post searchmanagement tools.

In HSN Query Manager, users enter simple keyword, natural language orHSN-SQL statements in a query window (62E), execute the statements, andview the results (62F) in a results window. HSN Query Manager alsoproviding tools for determining how HSNM is interpreting and workingwith a HSN-SQL statement wherein a user can display a graphicalrepresentation of the execution plan generated for the statement,display statistics about the performance of the statement. Searchesoptions provided therewith includes advance search, search wizard,search editor, templates, auto match, custom match, HSN Directory, AutoContent, Source Address navigator and explorer. The connect service tabin the tool bar (62B) providing for knowledge service connection for theintended to subscriber service by means of service connection wizard ordisconnecting any or all of the already subscribed services. Thetransaction management tab in the tool bar (62B) providing for the meansto negotiation and payment management for each of services subscribed bythe said CHN. The search and match options provided therein the toolbarproviding for selection of service types to be queried for posting thequery with out of various channel nodes, human services, including RES,AIA-AIS, HSNHC, HSNFS, KSS.

The query window (62E) is composed of multiple panes. The Editor pane isa text editor where you can enter HSN Query, SQL Query, English(Natural) Query, Full-Text Search statements. The Results pane (62F)displays result sets. The Messages pane displays error messages. TheExecution Plan pane displays a graphical representation of an executionplan. The Trace pane displays server trace information. The Statisticspane displays statistics information.

Taxonomy Repository menu provides options to Associate one or moretaxonomy to one or more Services to put service in one or morecategories for easy search and retrieval via Filter & Download (HSN)option system user can download filtered centralize taxonomy repositoryfor search requirements. Action Management menu provides post searchmanagement operations including download searched AI Agents, applicationand utilities via Download Links, Check Details of Services and Productsvia Details Links, Request Product Keys for selected Products, SubscribeServices online, Request Package Keys for Selected Services and RequestMore Details for selected products and services and TransactionManagement menu facilitates to all transaction via services like MakePayment for selected products and services etc.

Other search options are statistics details, status, reviews, Bookmark,Sort, Rank, Compare, Filter, Print search results and Search withinSearch. Apply various Search Settings to customize Query Manager andSearch Results etc.

FIG. 63 showing graphical user interface (GUI) for Hit StatisticsManager for HSN Controller illustrate the hit statistics of each ofcontents, utilities, search macros, published data in public and privatedomain of each of the channel node in the UHSF system.

FIG. 64 showing graphical user interface (GUI) for Hit StatisticsManager for HumanServiceNet Developer (HSND), HumanServiceNet HumanAgent (HSNHA), HumanServiceNet AI Agent (HSNAIA), HumanServiceNetService Provider (HSNSP) and HumanServiceNet Broker (HSNB) and HitManagements' menu options.

FIG. 65 showing a graphical user interface (GUI) for Multi Rank Systemfor HSN controller, Human Agent (HSNHA) and Subscriber (HSNS) whereinHSN provides two types of Rank Services namely

HSN Auto Rank Service which is based on Hit Statistics in combinationwith scores generated by points assigned by content users (HSNS andHSNHA) and

HSN Paid Rank Service which is based on Hit Statistics in combinationwith scores generated by points assigned by content users (HSNS, HSNHA &HSNB)] and one or more parameters out of quality, transaction, goodwill,brand and certification status. HSNHA and HSNS Rank Services (65B & 65C)providing for assignment of scoring points in the range of 1 to 100 tothe services offered by various CHN & CHN Service related answeredcontents and comments on answered contents and also to the varioussearch macros facilitating ranked knowledge package invocation whereinthe rationale followed is based on hit statistics, grade or weight orrank assigned by HSN (65A) each of rank assignment is possible via3^(rd) clicking the channel nodes and services thereof in the explorer,wherein selecting and providing numeric input to the ranking module. Thesaid ranking module works on the cumulative aggregation basis, whereinrank is instantly revised on the basis of said input via mathematicalalgorithm, the said algorithm output being linked with the replicationand synchronization module, providing for updated rank at display in theUHSF system.

FIG. 66 showing a logical block diagram illustrating the scheme forsearching & matching of subscribers for contents & sources, mode ofcommunication therewith and associated advertising of contents by eachof CHN. Showing 66E to 66J representational plurality of distributed HSNcontroller registered channel nodes communicating in the peer to peerenvironment sending search queries to HSN supernode (SN) directory basedrouting server (66C) which is having SN lookup directories and pluralityof subscribers partial profiles stored therein, the said SN directorybased routing server (66C) emulating and routing the said query at thematched SN (66D) via routing agents which is based on the domainspecific taxonomically precategorised supernodes matching logic, whereineach of matched SN (66D) sending plurality of spiders for fetchingmatched contents with respect to the said query or one or moresearching. CHNs (66E to 66I) requesting after filtering (66O) the saidHSNS for the sources or sending advertisements via communication modules(66K to 66M). The said spider passing on the said keyword to the inputmodule of the black box searching (BBS) wherein each of each of BBSproviding the search results at the desktop of each of user andproviding for OUT permission alert to each of desktop user, acceptanceof said OUT permission provides for search contents to be routed viasaid spider to the querying CHN. Block 66A and 66B showing thesubscriber's relationship with the each of service providing channelnode and HSN controller wherein each of subscribers querying to 66A andin receiving answers therefrom. In the process of searching each ofsearchers are provided with penta tier searching capability via 66Qsearch depth selection option specifying the tier of searching as perdesired granularity and being provided at options to select the humaninvolvement in the searching operation. HSN controller being a means forrepositing taxonomically and ontologically classified list of variousUHSF wide CHNs, providing for lookup directories of precategorised andpreidentified CHNs and resources thereof and establishing directconnection therewith,

The penta tier searching model works at desired level throughout theUHSF system wherein the said search query terms are matched withtaxonomically categorized supernodes (66D) via HSN controller (66C)central search and match engine and routing and replicating relevantmatched SNs result to each of querying channel node towards 1^(st) tierrefinement depth selection; one or more routing agent routing query termto 1^(st) online available matched supernode (66D) wherein said SNmatching query term with plurality of HSNS extended shared profiles,indexed keywords, black box indexes, LKID resources in peer to peerenvironment by multiple taxonomy matching logic based on the profiles ofplurality of HSNS being updated and clusterwise posted in thetaxonomically classified profile database of one or more supernodes(66D) and routing & replicating relevant matched HSNSs (66B) results toeach of querying channel node (66E to 66J) towards 2^(nd) tierrefinement depth selection; one or more matched and filtered HSNS (66B)receiving request for content source pointers or advertisement eitherfrom querying CHN (66E to 66J) or to each of matched HSNS directly frommatched SN and each of requested HSNS routing & replicating relevantmatched source pointers result to each of querying channel node oradvertisement subscription request to respective advertisers thereoftowards 3^(rd) tier refinement depth selection wherein each of HSNS(66B) preselectively enabling or disabling respective BBS and LKIDsearch thereof; one or more HSNS of 2^(nd) tier refinement depth resultafter routing source pointers, receiving abstract request from queryingCHN (66E to 66J) and in response to that routing & replicatingautomatically or manually one or more abstract of one or more sourcepointers to each of querying CHN (66E to 66J) towards 4^(th) tierrefinement depth selection; each of querying CHN (66E to 66J) filteringabstracts for determining and sending final selection request to one ormore HSNS of 2^(nd) tier refinement depth result and one or more HSNSresponding and sending full contents via associated one or morepublications or resources towards 5^(th) tier refinement depthselection;

Each of query is selectively dealt by respective querying CHN (66E to66J) by communicating either through HSNEM (66K) or through HSNE (66L)for various subscription and purchase in the UHSF system, and generatingone or more publication (66N) filtering (66O) one or more matchedsubscriber for enabling effective searching experience.

FIG. 67 showing a logical block diagram illustrating logical connectionof each of supernode represented via supernode-1 (67C) and supernode-2(67D) with the CHN (67A), HSNS represented by HSNS-1 (67E) and HSNS-2(67F) and the HSN controller (67B), composition of a supernode andtaxonomically organized connectivity of each of SN component for searchand match of HSNS. The basic premise behind working of the supernodemediated searching system is real time data replication within UHSFsystem wherein as shown in the FIGS. 67C and 67D supernodes are havingrespective relevant HSNS database (67G) and associated historicalrelevant HSNS database (67H) wherein real time relevance is generatedvia replicating the metadata for each of IN and OUT permission of HSNSwith the associated relevant HSNS DB (67G) of respective supernode. HSNserver (67B) directing the query of each of CHN (67A) to the associatedsupernode (67C) or each of CHN (67A) via associated taxonomy cluster.CHNs directly searching through the BBS of identified HSNS-1 (67E), atHSNS-1 (67E) desertion accepting IN or OUT permission or routing thequery of advertise to the other identified HSNS-2 (67F) wherein each ofIN and OUT permission acceptance are captured by respective supernodesand are replicated in the SN relevant DB (67G). Each of SN facilitatingHSNS match making via SN relevant DB & HSNS extended resources DBwherein each of SN linking and routing the keywords with the othermatched SNs for carrying forward the irrelevant queries and keywordstries at it. The HSNS related data in the SN relevant DB is the mostrecent one in the UHSF system, and matching of the queries and keywordsexecuted via the schematic logic explained in FIG. 66 with the said DBprovides for highly relevant search results and matches. This aspect isuniquely significant as catching of realtime information of users in anynetworked system is a tedious job is currently challenges for working ofall intelligent systems, the integrated organization of data storage,routing and replication mechanism accomplishing the said challenge inthe UHSF system. Additionally provides for excellent platform forecommerce operations enability and SN mediated human and auto searching& matching method. Each of vendor scanning supernodes for fosteringecommerce operations thereof. The data contents in the databases of HSNserver, SN, and SN relevant database are exemplified in the tableformat, the data category being representation only can add or deleteany of the category as per logic modulation.

FIG. 68 showing a logical organization and integrated functioning ofmultiple spider agent (68F) of each of supernode and integrational,replicative connectivity of each of agents thereof alongwith relationdata handling thereby each of agents wherein the said spider agent (68F)is a preprogrammed software module meant for plurality of independentfunctions of supernodes tasks via independent coordinated AI agentsthereof including:

-   -   1. Taxo Sync Agent (68B)    -   2. SN candidate collection agent (68D)    -   3. Watch Agent (68E)    -   4. Action Agent (68F)

Each of said AI agents working independently facilitating combinationalaccomplishing building SN directories and plurality of actions, whereinSN candidate collection agent (68D) searching potential supernodeswithin the UHSF system based on predefined threshold parameters andentering the qualified SN into prospective SN directory at HSNcontroller's server, each of such selected SN is being plugged with oneor more taxonomically segregated directory via one or more taxonomy syncagents (68B) and watch (68E) and action agents (68F) coordinating foralteration and restructuring of the said SN directory, wherein Taxo SyncAgents (68B) synchronizing the associated HSN taxonomy changes with theappropriate SN taxonomy directory and reporting the same to an actionagent for further action. SN candidate collector agent (68D) crawlingcontinuously through HSNS registration directory (68C) collectingplurality of related parameters thereof including public IP address, CPUdetails, memory capacity, network bandwidth level so as to prepareprospective SNs ranked database based on online availability thereof andconcurrently SN watch Agents (68E) quantifying and keeping watch ofexisting SNs quality wherein checking online availability thereof bypinging thereto and adjunctively reporting alterations in each of theparameter collected by SN candidate collector agent and generating andappending a quality report therein the database thereof. The report fromplurality if agents are executed via action agents (68F) performingplurality of actions based on the predefined threshold parameterconditions wherein primarily assigning one or more new or modifiedtaxonomy to each of preemptively future operational SN based on rankthereof, performing plurality of load balancing actions whereinreplacing, dividing and merging one or more existing SNs based on thequality report appended therein the database thereof by watch agent,performing load balancing of one or more overloaded or underloaded SNswherein based on the predefining overload and underload threshold levelslogically shifting the load to one or more other SNs for load valueabove prefixed overload threshold value and merging one or more SNs forload value below prefixed underload thresholds value, determiningobsolesce of supernode on the basis of threshold predefined no ofrecursive pinging attempts wherein after crossing said threshold no ofsuch pinging attempts the said supernode is made obsolete and replacedby either randomly selected new supernode in the said peer to peerenvironment or with the highest ranked SN from prospective SN databasethereof.

FIG. 69 showing an interface for management of knowledge supportservices (KSS) illustrates the KSS project explorer (69C), workspaceexplorer (69E), KSS status explorer (69D) and plurality of managementtools (69A). the knowledge support services specifically includesrouting, scanning, analyzing, filtering, searching, matching,categorizing, book marking, search macros configuration, post action andtransactions of ecommerce, sales, marketing, purchasing, ordering,billing, payments and contextual metadata, keywords, taxonomy,classification, ontology and semantic syntax building. Each of HSNHAproviding for KSS services via package keys thereof. Creating, openingor importing multiple separate KSS projects in the said workspace (69E),organizing the said KSS service delivery via taxonomy management andmanaging KSS services via multiple preidentified separate KSS managementutility for each of KSS function and further managing the said projectin the said workspace for collaboration with other KSS providers.

FIG. 70 showing a logical block diagram illustrating HSNS universalprofile creation and updation at a supernode via survey system whereineach of HSNS (70B) intermittently being fed with HSN controller'ssurveying system (70A) at predefined or circumstantial times wherein HSNcontroller preparing and sending Survey forms to each of HSNS and eachHSNS submitting the said survey towards consideration of free utilities,social networking creation, receiving relevant advertisement contents,and matched service list. Figure showing the relational benefitsreceived by each of HSNS (70B) from plurality of CHNs from 70D to 70I,the submission of the said surveys at the HSN controller resulting inthe extended profile updation followed by linked replication at therelated domain specific supernodes (70C), wherein each of supernodesupdating the HSN controller about survey analysis and survey results forsurvey forms creation as per taxonomy cluster. The updated profile ofeach of HSNS at respective SNs results in the higher relevance searchingand matching.

FIG. 71 showing an interface for management of subscriber supportservices (SSS) illustrate the SSS project explorer (71C), workspaceexplorer (71E), SSS status explorer (71D) and plurality of managementtools (71A & 71B), the subscriber support services (SSS) specificallyincludes routing, scanning, analyzing, filtering, searching, matching,categorizing, comparing, mapping, formatting, and other supportive worklike communication, printing, marketing, etc. via sponsored, paid, HSNcurrency, or barter exchange. Each of HSNS creating, opening orimporting multiple separate SSS projects in the said workspace (71E),organizing the said SSS service delivery via taxonomy management andmanaging SSS services via multiple preidentified separate SSS managementutility for each of SSS function and further managing the said projectin the said workspace for collaboration with other SSS providers.

FIG. 72 shows a logical block diagram illustrating developersdissemination pattern of Rule Enabled applications [REA], rule enabledservices [RES] and rule wizards (RW) including functioning of variouscomponents, and data flow towards implementation of the Rules-BasedSystem. (72B) developer developing and customizing RES specificapplications, utilities, AI Agents, and tools either independently orcollaboratively and human agents (HSNHA) and service providers (HSNSP)(72C) downloading the said RES specific developed application &utilities for deploying the said applications & utilities for rulesdevelopment for RES, testing, updating, and executing independently orvia in collaboration with other (72D) service providers and human agentsrespectively wherein sharing said rules templates. The final rulespolicy implemented RES application & utilities are registered with theHSN controller (72A) and each of subscriber (72E) searching for the saidregistered RES at the HSN server, subscribing the said searched RES fromone or more HSNHA & HSNSP via single or collaborative or federatedpackage key's and sharing the said rule and templates with other peersubscribers (72F).

FIG. 73 showing a logical block diagram of Black-Box Searching (BBS)system illustrating internal components of BBS system and itsfunctioning in the keyword handling from the various CHNs. Each ofuser's resources in the UHSF system are indexed and made searchable viablack box search (BBS) logic as shown in the 73F. The black box searchor desktop search utility is installed at the user machine (73F) havinginport (73I) in the form of incoming keyword management for receivingmultiple keywords, search syntax from plurality of BBS searcher or CHNsand outport (73J) for permissions and selection management for providingthe search results thereto. A black box searching system comprising ofresource index management (73G) unit for indexing files, images, docs,video, databases, favorites, registry, cookie, folders, emails,attachments, programs, contacts, machine configuration & all other info.which are further auto indexed, filtered, and categorized from localmachine or network or server via multiple algorithms or methods orsystems and publishing IN and OUT full or partial index to the multiplematched SN (73B), the incoming keyword is searched and matched by meansblack box search and match engine (73H) with the indexed resourcesprovided by resource index management unit (73G) and based on the searchand match results transmitting multiple permissions generation signalsto the permission and selection management unit (73J). If the querycontaining linking and routing request alongwith depth thereof forextended matching the host user forwarding the said incoming query vialinking and routing management unit (73D) to the multiple users BBS(73E). Multiple CHNs (73C) and P2P supernodes (73B) are shown insearching facilitation engagement wherein CHN sending search query atmatched SNs and each of SNs sending the matched HSNS and resourcesthereof wherein the said matched SNs are obtained by sending SN matchingquery at the HSN controller. 73K top 73N showing the permission andselection and communication enabling interfaces.

FIG. 74 showing a logical block diagram of Universal Distributed (P2P)Knowledge and Information Database (UKID) system illustrating a methodfor creation, searching, organization and management of plurality ofUKID and LKID structures and replication thereof wherein HSN centralserver (74A) as per taxonomy creating and updating multiple universalknowledge and information database (UKID) structures and maintaining andsynchronizing the said structures throughout the UHSF system and one ormore HSNS (74G) searching, downloading and utilizing one or moreexisting UKID structures or part thereof from plurality of taxonomicallyderived database structures stored in one or more database servers fromthe HSN server and downloading UKID related applications, utilities, AIagents and tools from one or more developers (74F) whereby organizingand modifying respective local knowledge and information database (LKID)structures of each of HSNS facilitating management and organization ofrespective information and knowledge contents wherein one or more HSNSmodifying or creating new taxonomy and sending the same to the HSNcontroller (74A) and HSN controller selectively updating the saidtaxonomy by creating and storing new database structure therein the UKIDthereof whereby combinly aggregating each of LKID structures ofplurality of HSNS into the Universal knowledge and information database(UKID) in a p2p distributed communication environment. 74G showing theLKID structure management for data organization of each of HSNS. Thesearching system and logic as explained in FIGS. 66 and 73 working inthe similar fashion, all resource indexing and local HSNS dataorganization is managed via LKID structures.

The HSN controller having one or more database servers storing taxonomyor field or domains into the primary UKID database structure therein andone or more management and organization tools therefor wherein said UKIDdatabase structure comprising of plurality of tables which are beingattached therewith associated metadata thereof wherein the said UKIDstructure of HSN controller forming a primary database structure'ssource mechanism enabling information and knowledge management processwithin UHSF system.

Each of channel node being provided with plurality of LKID (74G)organization and management utilities performing database creation,organization and modification includes:

-   -   1. LKID wizard (74H)    -   2. LKID structure management (74I)    -   3. Data input management (74J)    -   4. Resource index management (74K)    -   5. LKID search and match engine (74L)    -   6. Incoming keyword management (74M)    -   7. Permissions and selection management (74N)    -   8. Linking and routing management (74D)        wherein each of channel node creating one or more databases        structures manually or through a LKID creation wizard (74H) and        managing data and structure thereof by means of management tools        thereof.

One or more channel nodes (74G) providing one or more KSS and SSSservices in one or more taxonomically classified subject areas andfurther creating, updating and modifying one or more LKID structures ofone or more channel nodes wherein other CHN (74C) sending search syntaxor query at the incoming keyword management unit (74M) of the searchingCHN (74C) which forwarding the said query to the searching and matchingengine (74L) which is forwarding the search results to the permissionand selection management unit (74N) which is generating multiplepermissions, selections, views and popup for sending matched databasestructures and resources thereof to the querying CHN wherein thepermission and selection management is a means for selecting permissionsand options provided therewith for incoming and outgoing data resourceswherein providing plurality of views and interfaces for outgoingdatabase results and incoming advertisements into the database thereofvia multiple selection viewers further managing the same by generatingplurality of log reports, blocking one or more users, monitoring,sharing, notifying, synchronizing & replicating one or more updates andpredefining rules and settings for secured operations thereof.

FIG. 75 showing a logical block diagram of HSN AdRouting Systemillustrating system components for advertisement storage, customertracking and a method for advertisement relevancy optimizationcomprising of various components for storage (75H), retrieval (75N),routing (75J), linking (75L), and dissemination of plurality ofadvertisements (75A & 75N) and accomplishing associated pecuniarytransaction effected thereby, wherein various advertisers posting one ormore advertisements (75G) in the advertisings and tacking DB (75H)alongwith daily budget and possible keywords therefor. The match makingand business logic unit (75J) providing for the relevant matches of theadvertisement with the prospectively interested CHNs by matching theentries of the prospective customer DB and that of HSN prospectivecustomer preferences. The routing of the advertisements to the relevantsubscribers is a dependant function on the prospective customer DB(75D), which is an integral part of UHSF SN mediated search system asdescribed in FIGS. 66 & 67. In the searching operations each ofsearching CHN (75A) receiving the matched results for the searchedkeywords wherein each of matched HSNS (75B) selecting IN and OUTpermission selection options wherein the IN permission selectionenablement triggering the auto posting the details of each of HSNSincluding metadata, URL, registration no, keyword responded, date, andlocation into the prospective customer database (75D) via HSN AI agentand OUT permission selection enablement triggering posting of contentsearching CHN's (75A) metadata into the prospective customer database(75D), and in an another instance one or more CHNs and 3^(rd) partiesproviding for personalized preferences in the HSN prospective customerpreferences DB (75M). Each of intended advertiser downloadingadvertisement wizard and management system and registering with HSNcontroller (75C) and requesting package key therefrom for posting one ormore advertisements campaigns at HSN advertisement and tracking database(75H) and/or at HSNOP (75N) by means of HSN advertise wizard andmanagement system; each of associated channel node involved in theaccomplishment of the adrouting are governed via business logic to theeach of associated channel nodes, subscribers and advertisers for feesand commission receipts or payments; HSNOP (75N) facilitatingadvertisement posting for various advertisers and eCommerce operationsvia multi vendor shopping cart for matched adviewers and furthersynchronizing the entry of each of products or services into therespective taxonomywise listing at HSNOP from advertise and trackingdatabase thereof.

Each of the associated channel nodes for said advertisement are beingdetermined via at least one correspondence relationship of each of CHNincluding:

-   -   1. CHNs posting, routing, hitting or linking the said advertise    -   2. CHNs referring the said prospective customers stored in the        URL attached therewith the said advertise    -   3. CHNs offering sponsored services for the said advertise and    -   4. Prospective customers of the said advertise.

The said correspondence relationship is used to determine the paymentsand commissions for stipulated activities wherein HSN controllerreceiving the payments for each advertisement posting and later forcommissions effected thereby in the further process of routing, linkingand viewing of each of the said advertise campaign wherein the receiptof payments from and delivery of commissions to each of correspondinglyrelated CHN is carried out by determinants thereof.

In an human alternative to ad sense generated via IN and OUT keywordtracking one or more Human Agents (HSNHA) and service Providers (HSNSP)registering with HSN controller for offering sponsored services (SP)(75K) forming the network thereof wherein the advertise managementsystem attaching the related one or more advertisements with each ofcommunication of each of sponsored service provider (SSP) (75K).

HSN controller determining CTR (Click Through Rate) wherein determiningthe no of impressions per hit signifying the conversion factor ofimpressions into actual hits by means of the business logic unit (75J)

FIG. 76 showing the graphical user interface (GUI) for the search macromanagement, wherein provided with explorer (76C) for devisingtaxonomically organized projects and formulating plurality of subgroupstherein the said project having one or more keywords to configuremacros. The utilities section (76B) having various utilities forrecording, testing and deployment of such configured macros. Further theutilities provide for project opening, editing, archiving and tagging,importing, inviting, replicating, ranking, collaborating, applyingsecurity features, notification, and SSS & KSS management. Each of humanagents and serviced providers offering the subscription to suchconfigured search macros by means of search macros package keys.

1. A method of creating a search macro comprising: identifying one ormore search strings; performing a search based on the search string onone or more resources; and storing one or more search string specificsearch results and/or an identification of the corresponding resourcesand/or recording a sequence of one or more actions and/or one or moresystem events during the search process as a viewable file.
 2. A methodas claimed in claim 1, wherein said resources comprise one or more webpages, web links, text, videos, images, graphics, files, databases,publications, linked search macros, local or remote devices, network orapplications or services or storage system with or without links ofsources.
 3. A method as claimed in claim 1, wherein said actionscomprise one or more windows or web page opening in a browser window orin tabbed browser interface, loading and closing pages, selecting orcopying or marking content, printing, e-mailing, referring, analyzing,downloading, saving and/or book marking web pages, visiting links withinweb pages, time or duration spent for viewing or reading web pages,assigning ranks or weights, categories or taxonomy classifications,meanings, keywords, ontology and notes or reviews or comments withmetadata.
 4. A method as claimed in claim 1, comprising the step ofassociating one or more meta data tags to the search macro, wherein saidmeta data tag comprises taxonomy classification, configuration settings,search macro name, ID or URL, search macro group name, description,details, keywords, search string, queries, meaning, ontology, semanticsyntax, hit statistics, date and/or time of creation or updation, authoror creator name or ID, price and/or payment details, security featuresincluding user ID, password and/or certificate.
 5. The method as claimedin claim 1, comprising the step of uploading one or more search macrosat a device and enabling the search macro to be identified by a searchprocess, wherein said device comprises remote storage, PC, mobile phone,central server, one or more peer to peer or distributed super nodeswithin a personal or private access environment comprising, LAN, WAN,intranet or wireless network.
 6. The method as claimed in claim 1,wherein said user can edit, add links of other search macros, share, andranks the said one or more search macros.
 7. A method as claimed inclaim 5, wherein the method for performing a search using an identifiedsearch macro comprises the steps of: receiving a search string;identifying one or more search macros whose one or more attributes matchwith the value or condition of the search string; performing the one ormore actions included in said search macros for locating one or morerequired resources; and displaying or sending the located resources. 8.A method as claimed in claim 5, wherein the method for performing asearch for identifying one or more search macros comprises the steps of:determining a set of one or more devices or human experts; sending, toeach said device or human expert a search request; comparing attributesof one or more search macros with the search string; and displayingthose search macros whose attributes match with the value or conditionof the search string.
 9. A method as claimed in claim 7, wherein saidconditions comprises one or more preferences, connections orsubscriptions of the user.
 10. A method as claimed in claim 8, wherein auser or human expert performs one or more actions included in one ormore displayed search macros to locate one or more required resourcesand sends the located resources to the user.
 11. A system for creating asearch macro comprising: means for identifying one or more searchstrings; means for performing a search based on the search string on oneor more resources; and means for storing one or more search stringspecific search results and/or an identification of the correspondingresources and/or recording a sequence of one or more actions and/or oneor more system events during the search process as a viewable file. 12.A system as claimed in claim 11, wherein said resources comprise one ormore web pages, web links, text, videos, images, graphics, files,databases, publications, linked search macros, local or remote devices,network or applications or services or storage system with or withoutlinks of sources.
 13. A system as claimed in claim 11, wherein saidactions comprise one or more windows or web page opening in a browserwindow or in tabbed browser interface, loading and closing pages,selecting or copying or marking content, printing, e-mailing, referring,analyzing, downloading, saving and/or book marking web pages, visitinglinks within web pages, time or duration spent for viewing or readingweb pages, assigning ranks or weights, categories or taxonomyclassifications, meanings, keywords, ontology and notes or reviews orcomments with metadata.
 14. A system as claimed in claim 11, comprisingmeans for associating one or more meta data tags to the search macro,wherein said meta data tag comprises taxonomy classification,configuration settings, search macro name, ID or URL, search macro groupname, description, details, keywords, search string, queries, meaning,ontology, semantic syntax, hit statistics, date and/or time of creationor updation, author or creator name or ID, price and/or payment details,security features including user ID, password and/or certificate. 15.The system as claimed in claim 11, comprising means for uploading one ormore search macros at a device and enabling the search macro to beidentified by a search process, wherein said device comprises remotestorage, PC, mobile phone, central server, one or more peer to peer ordistributed super nodes within a personal or private access environmentcomprising, LAN, WAN, intranet or wireless network.
 16. The system asclaimed in claim 11, wherein said user can edit, add links of othersearch macros, share, and ranks the said one or more search macros. 17.A system as claimed in claim 15, wherein the means for performing asearch using an identified search macro comprises: means for receiving asearch string; means for identifying one or more search macros whose oneor more attributes match with the value or condition of the searchstring; means for performing the one or more actions included in saidsearch macros for locating one or more required resources; and means fordisplaying or sending the located resources.
 18. A system as claimed inclaim 15, wherein the means for performing a search for identifying oneor more search macros comprises: means for determining a set of one ormore devices or human experts; means for sending, to each said device orhuman expert a search request; means for comparing attributes of one ormore search macros with the search string; and means for displayingthose search macros whose attributes match with the value or conditionof the search string.
 19. A system as claimed in claim 17, wherein saidconditions comprises one or more preferences, connections orsubscriptions of the user.
 20. A system as claimed in claim 18, whereina user or human expert performs one or more actions included in one ormore displayed search macros to locate one or more required resourcesand sends the located resources to the user.
 21. A network device forcreating, searching and using a search macro, said network deviceconfigured to perform the method as claimed in claim
 1. 22. A clientdevice for creating, searching and using a search macro, said clientdevice configured to perform the method as claimed in claim 1.